DevConf.US 2026

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Aanya Sharma

Aanya has been a Software Engineer at Red Hat since 2025, specializing in optimizing the performance and scale of OpenShift AI for enterprise-grade LLM workloads. She brings over two years of specialized experience developing AI applications at FPrime.ai (Carnegie Mellon University), Microsoft, and Scotiabank. Leveraging a background in Computer Science and Mathematics from UC San Diego, Aanya is dedicated to advancing scalable AI solutions built on open principles. In her free time, she is a racquet sports enthusiast and a passionate coffee connoisseur.

  • LLM-Tuna 2.0: Agentic Profiling and Knowledge-Driven Optimization for vLLM
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Aishwarya Ramasethu

Aishwarya is an AI engineer at Prediction Guard, where she focuses on enhancing the privacy and security of LLMs. Her responsibilities include developing techniques for masking Personally Identifiable Information (PII) in user prompts, identifying prompt injections, and researching relevant Privacy Enhancing Technologies (PETs). Aishwarya previously worked as a data scientist in industry and a researcher at Purdue University, where she focused on constructing optimal discrete noise to be added to data (maximizing both privacy budget and utility). With 6+ years of experience in analytics, AI, and data science, Aishwarya's work has led to both significant research contributions and real world insights for companies in retail and healthcare.

  • Who's in charge here? Trust boundaries and tool composition in production agentic systems
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Alberto Garcia Lamela
  • AI-Powered Backlog Burndown: How We Taught Claude Code to Solve Jira Tickets and Address Code Reviews
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Alessandro Sangiorgi

Alessandro is a Senior Software Engineer in Red Hat’s Emerging Technologies (Office of the CTO), where he works on ML systems and GPU-kernel tooling across Triton, PyTorch, and Helion. His work focuses on kernel autotuning, caching, deployment-oriented performance improvements, Model Cache Manager, and related utilities. He is also a Helion committer and active open-source contributor.
Outside of Red Hat, he leads Sangiorgi SRL, an Italian software company whose products, led by WiFi WPS WPA Tester, have surpassed 160 million downloads, making it one of Italy’s top mobile publishers.

  • Warm Starts Over Fresh Runs: Cutting GPU Kernel Autotuning from 20 Minutes to 90 Seconds in Helion
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Alvin Yu

Alvin Yu is an Associate Software Engineer in Red Hat Emerging Technologies, part of the Office of the CTO at Red Hat. He is primarily focused on agentic AI and Cloud Computing.

  • Infusing GitOps Pipelines with LLM-Powered Manifest Intelligence
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Amy Marrich

Amy Marrich is a Principal Technical Marketing Manager at Red Hat. She currently serves as the Chair of the CentOS Project, Vice Chair of the Open Infrastructure Foundation (OpenInfra) Board of Directors, and is on the Community Health Analytics in Open Source Software (CHAOSS) projects governing board. In addition, she serves on Red Hat’s OpenStack technical committee, is Chair of the OpenInfra Inclusion Working Group, contributes to several OpenStack projects, and previously served as the Chair of the OpenStack User Committee.

  • Real World Ready: Why Co-ops, Internships, and Mentors Aren't Just Extras—They're Essential
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Anass Tissirallah

I'm a tech builder with over nine years of experience building systems across fintech, banking, payments, and AI.

Previously, I worked on large-scale financial systems, digital KYC, payment infrastructure, and distributed architectures. I'm particularly interested in production grade AI, distributed systems, and turning complex data into reliable software products.

  • From Messy Data to Explainable Decisions: Building a Production-Grade AI Risk Engine
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Andrea Bozzoni

System Architect/Team leader with passion for architectures, micro services, orchestration, service mesh technologies and continuous integration and delivery

  • Confidential Containers: The Next Era of Cloud Data Security
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Andrew Cho

I'm a senior at Boston University studying Data Science, with a growing interest in how machine learning intersects with healthcare, especially medical image analysis. This project started as a way to go beyond coursework and actually wrestle with the mess of a real dataset: class imbalance, data leakage risk, etc.

  • Skin Disease Prediction: Take One Photo to Catch Skin Cancer
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Aneesh Puttur
  • llm-d-async: Efficient Asynchronous Inference for Batch Workloads
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Artemis Leonardou

Artemis Leonardou is a 19-year-old Founding Engineer at KanoParty and a full-time Computer Science student at NKUA. A leading voice in the "Gen Z Builder" movement, she documents her journey in AI-native development to over 1.5 million viewers, advocating for a shift from traditional junior roles to high-agency, production-ready engineering.

  • The End of the Junior Developer: How Gen Z Builders Are Redefining Engineering Culture
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Arthur Savage

Arthur Savage is a software engineer on Red Hat Emerging Technologies Security Team with a Master's degree in Electrical and Computer Engineering. He is passionate about cybersecurity and post-quantum cryptography, with additional specialties in biomedical research, data analytics, deep learning, and image processing.

  • 6,100 qubits and counting: is open source ready?
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Aseef Imran

Aseef is a Software Engineer at Red Hat and an upstream contributor to KubeVirt, a Kubernetes add-on that enables cloud providers to run virtual machines alongside containers. Aseef graduated from Boston University in August 2025 with a dual Bachelor’s and Master’s degree (BA/MS) in Computer Science.

  • Don't Outsource Your Brain
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Ashu sharma

I'm a Backend Developer at Red Hat with 2+ years building distributed microservices working primarily with Go. I have experience building and maintaining microservices, designing APIs, integrating with databases and external services, and debugging production systems.

  • Go Performance Optimization: A Practical Guide to Profiling
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Ayush Tiwari

I am software Engineer at Red Hat

  • The Contributor Tax: Supporting OpenShift Without Crushing Upstream Velocity
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Bryan Cox

Principal Software Engineer at Red Hat with 10+ years of software engineering experience, including 4+ years specialized in cloud-native infrastructure. Focused on Kubernetes, OpenShift, and Hosted Control Planes (HyperShift) — contributing to both upstream open-source communities and enterprise-grade deployments. Passionate about automation, multi-arch workloads (x86 + Arm), and solving hard infrastructure problems at scale.

  • AI-Powered Backlog Burndown: How We Taught Claude Code to Solve Jira Tickets and Address Code Reviews
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Chaitanya Challa

Chaitanya is the Director of Product Management at AppViewX, where she leads the company's strategy across AI, Machine Identity Security, crypto-agility, and core platform capabilities. She drives the development of intelligent, policy-driven products that use AI and automation to discover risk, predict failure, and orchestrate remediation across cryptographic assets and machine identities in large-scale hybrid and multi-cloud environments.
A senior product executive known for building and scaling enterprise security platforms, she brings deep expertise in data security, encryption, and threat management. She specializes in translating complex, emerging technologies into market-defining products that deliver measurable business outcomes.
Previously at IBM, she led the zero-to-one creation of IBM Guardium Cryptography Manager, taking the product from concept to enterprise-ready launch in under six months by aligning a 100+ member globally distributed team across product, engineering, research, and go-to-market. She was recognized as IBM Top 1% technical talent. Earlier, she led product management for IBM QRadar, a flagship threat detection platform driving innovation, global adoption, and industry thought leadership.
Her mission is to elevate security from a reactive control to a strategic, intelligence-led business capability, reducing operational complexity and strengthening cyber resilience for enterprises navigating the quantum era. She began her career as a developer and tech lead with IBM Sterling OMS and IBM Kenexa BrassRing, grounding her leadership in strong technical depth.

  • Trust in the Quantum Age: How Crypto-Agility and Identity Frameworks Must Evolve to Survive Quantum Computing and Agentic AI
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Charles Mirabile

Charlie is a Senior Software Engineer at Red Hat with five years of experience working on the hardware enablement team for the RHEL kernel. He focuses on bringing support for new ARM and RISC-V platforms from Red Hat's partners into RHEL. He is also the lead instructor for an "Introduction to Linux Kernel Development" class at a local university where he is trying to foster the next generation of kernel engineers. In his spare time if not programming on a hobby project you might find him Biking, or playing the guitar.

  • Linux as firmware: Where we're going, we don't need bootloaders
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Charles Shi

Senior Software Quality Engineer at Red Hat, working on Linux kernel validation for automotive platforms. Focus areas include real-time testing, performance validation, and debugging complex issues on ARM-based systems. Recently exploring the use of AI to improve engineering workflows and automate repetitive validation tasks.

  • Closing the Loop: Using AI Agents to Automate Kernel Validation on Real Hardware
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Christopher Coco

I am an Associate Software Engineer at Red Hat working on the OpenShift GitOps team. My interests include containers, cloud native infrastructure, distributed systems, and networking. I first began learning about tech in high school participating in robotics. I quickly fell in love with banging my head against the wall trying to solve problems.

Beyond tech, I enjoy playing video games, messing around in my homelab, skiing, and hiking.

LinkedIn: https://www.linkedin.com/in/christopher-coco-jr
GitHub: https://www.github.com/cjcocokrisp

  • Argo CD Agent: Redefining Multi-Cluster GitOps
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Christopher MIyai
  • Benchmark Regression Detection for Model Performance and Accuracy
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Christopher Nuland
  • Hands-On llm-d: Building High-Performance AI Inference at Scale
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Cuiping Huo

I am a Quality Engineer working on the Konflux project as part of the Conforma team. My work focuses on improving software quality through testing, automation, and close collaboration with developers. I help ensure that Conforma features are reliable, maintainable, and aligned with project goals.

  • Closing the Gap Between Build Evidence and Compliance Enforcement
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David Peraza

David Peraza is a Principal Software Engineer at Red Hat with over two decades of experience in distributed systems, cloud-native architecture, and the software supply chain. Currently, he serves as a lead architect for the Red Hat Advanced Developer Suite (RHADS), where he focuses on building trusted software supply chains and enhancing developer experience within OpenShift and Kubernetes ecosystems.

Throughout his career, David has held senior technical roles at AWS, IBM, and Persistent Systems, contributing significantly to the OpenStack project and pioneering hybrid cloud integrations. A holder of multiple patents and a published author in the field of cloud-managed services, David holds a Master’s degree in Computer Science from Florida International University. He is a recognized expert in Kubernetes, DevOps automation, and the engineering of secure, scalable cloud infrastructure

  • Build a Multi-Product Kubernetes Solution with Helmet (Hands-On)
  • Helmet: Composing Multi-Product Kubernetes Installers Without Losing Your Mind
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Dorka Volavkova
  • Closing + Trivia!
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Dusty Mabe

Dusty Mabe is a Senior Principal Software Engineer at Red Hat helping to
enable new technologies in next generation datacenters and the cloud. He
is currently participating in several upstream projects that help build a
strong platform for containerized applications to run. In the past Dusty
has developed software for enterprise grade telecommunications software
vendors and has also worked as a Red Hat Platform Consultant, focusing on
enabling cloud technologies within the Financial Services industry.
Outside of his professional life Dusty enjoys spending time with his wife
and three children.

  • The Future of Image Based Fedora
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Fahim Uddin
  • Stop Wasting GPU Workloads in K8
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Federico Lucifredi

Federico Lucifredi is the Product Management Director for Ceph Storage at IBM and Red Hat and a co-author of O’Reilly’s “Peccary Book” on AWS System Administration. Previously, he was the Ubuntu Server product manager at Canonical, where he oversaw a broad portfolio and the rise of Ubuntu Server to the rank of most popular OS on Amazon AWS. A software engineer-turned-manager at the Novell corporation, he was part of the SUSE Linux team, overseeing the update lifecycle and delivery stack of a $150 million maintenance business. A CIO and a network software architect at advanced technology and embedded Linux startups, Federico was also a lecturer for over 200 students in Boston University’s graduate and undergraduate programs, and simultaneously a consultant for MIT implementing fluid-dynamics simulations in Java.

  • All Your Keyboards Are Belong to us
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Francisco Zompa

Francisco Zompa is CEO of Delibanez IT and Finx, two Mexican startups focused on software development and financial technology. With experience leading engineering teams and building scalable products, he is passionate about open source, developer culture, and technology innovation in Latin America

  • Your Platform Team Is Not a Ticket Queue
  • Compliance as Code for Finance: Automating Controls, Audit Trails, and Recovery
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Fynn Schmitt-Ulms

Fynn Schmitt-Ulms is a Machine Learning Engineer on the Inference Engineering ModelOpt team at Red Hat. His work focuses on speculative decoding techniques for large language models (LLMs) and he is a core maintainer of the open source Speculators library.

  • Speculators: Accelerating LLM Inference through Speculative Decoding
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Gabriella Roman

Gabriella joined IBM Storage Ceph's product security team in 2024, working to keep the product secure and finding ways to streamline its security processes. Gabriella graduated from Boston University in 2022, and in her free time enjoys exploring her hometown of NYC and eating sweets.

  • Security Process Improvements in Ceph and Rook ​
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HARIKA POTHINA

Harika Pothina is a Performance Engineer at Red Hat with over five years of experience in AI workloads, GPU/CPU systems, and compiler performance across Red Hat, Intel, and Micron. She currently focuses on profiling and optimizing large-scale LLM inference with vLLM and MLPerf.

  • Profiling and Optimizing vLLM for Large Multimodal MoE Inference
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Harish
  • Unsigned Models Are the New “curl | bash”: Securing the LLM Supply Chain
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Harshith Umesh

Performance & Scale Engineer at Red Hat, specializing in building and optimizing LLM inference at scale.
With a strong foundation in distributed systems, cloud computing, and MLOps, I bring expertise in designing, deploying, and optimizing large-scale, resilient infrastructure for modern AI and enterprise applications. Recognized for impactful open-source contributions and research publications at leading conferences, I’m passionate about pushing the boundaries of AI infrastructure to deliver high-performance, reliable systems.

  • 1 Agent, 30 Tools : What We Learned Building an MCP-Powered Performance Detective
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Heber Romero Tellez

Being the best at what I do, seeking to deliver the best of me to others and trying to live a righteous life and be happy.
Growing as a person, always seeking improvement and success, providing everything in my scope, acquiring knowledge by learning from others, helping the growth of the workplace for mutual success.
I am an open-minded person, and free spirit, who likes to enjoy every moment, whether it is going out to enjoy sports, technology and family.

I lead digital transformation initiatives by designing open, scalable, and cloud-native architectures that empower global enterprises to innovate with agility and resilience. With deep expertise in middleware platforms and enterprise cloud solutions, I bridge the gap between strategy and execution. I am a visionary leader in DevSecOps, cloud-native, and serverless architectures, passionate about enabling interoperability, security, and performance across complex ecosystems. As a mentor, open source promoter, and founder, I am committed to shaping the next generation of technology leaders and advancing open innovation on a global scale.

  • Your Platform Team Is Not a Ticket Queue
  • GPUs, DRA, and Smarter Scheduling for AI: Preparing Kubernetes for Accelerated Workloads
  • KubeVirt Without Fear: Running VMs and Containers Together on One Platform
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Helen Bailey

Helen Bailey is a Principal Software Engineer at Red Hat, where she helps convince complex automation systems to behave themselves. She's into system design, scalable platforms, and making technical ideas useful for actual humans. When she's not frowning at a screen, Helen mentors engineers, thinks about AI, and plays the banjo.

  • Game Day:  AWS and Red Hat Enterprise Linux automation quest (Day 1)
  • Game Day:  AWS and Red Hat Enterprise Linux automation quest (Day 2)
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Hema Veeradhi

Hema Veeradhi is a Principal Data Scientist working in the Emerging Technologies team part of the office of the CTO at Red Hat. Her work primarily focuses on implementing innovative open AI and Generative AI solutions to help solve business and engineering problems. Hema is a staunch supporter of open source, firmly believing in its ability to propel AI advancements to new heights. She has been a previous speaker at Open Source Summit, KubeCon and DevConf.

  • From Traces to Fixes: Building Resilient AgentOps with Failure Mode Analysis
  • Infusing GitOps Pipelines with LLM-Powered Manifest Intelligence
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Hoang Truc Kim

I’m a Computer Science student currently working as a co-op at Red Hat. I’m interested in software engineering and machine learning, and I enjoy learning how to build systems that work in real-world settings. Through my experience, I’ve worked on projects involving development, collaboration, and problem-solving. I like taking on new challenges and continuing to grow my technical skills.

  • Real World Ready: Why Co-ops, Internships, and Mentors Aren't Just Extras—They're Essential
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Isaiah Stapleton

Isaiah Stapleton is a Software Engineer with Red Hat Research, where he supports initiatives in the Mass Open Cloud for academic and industry research. His work focuses on OpenShift, including model serving, AI workload support, observability, and performance evaluation across AI systems and cloud platforms. He helps build and maintain the systems that enable researchers to conduct and scale their work.

  • OpenClaw: From Homelab to Enterprise
  • Teaching at Scale with OpenShift
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Ismael Flores

Passionate about automation in all its forms.

  • GPUs, DRA, and Smarter Scheduling for AI: Preparing Kubernetes for Accelerated Workloads
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Jaideep Rao

Hello! My name is Jaideep, I am a senior software engineer at Red Hat, based out of Toronto. I am interested in Gen AI, Agentic systems, Kubernetes, DevOps and working somewhere in the intersection of those things :)

  • Empty cluster to a production-shaped MCP Ecosystem - Using AI as a Learning Accelerator
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James Busche

James Busche is a Software Development Manager in the IBM Open Technologies Group. His team is focused on key watsonx-related Open Source projects. Previously, James has been a developer on Open Source projects, and a DevOps Cloud engineer for IBM Watson Assistant.

  • Agentic AI in Open Source Development: From Autopilot to Co-Pilot
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James Gilmore

James Gilmore received a B.Sc. degree in computer science and a B.A. degree in economics from the University of Calgary, Canada. He is a Staff Software Engineer at Intuit, Inc., where he designs and IT Service Management software solutions targeting change and incident management. Previously, he was a Software Engineer at Amazon Web Services, contributing to virtual machine instance scheduling and capacity management. He holds two U.S. patents on cloud infrastructure resource management (U.S. 10,067,785 and U.S. 10,042,676). His research interests include incident management, change management, highly available systems, developer productivity, and large language models.

  • A Hybrid LLM and Rule-Based Risk Assessment Framework for Enterprise Software Change Management
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Jenny Yi
  • Why Jira is a Terrible Knowledge Base: Using AI To Move Knowledge Out of the Backlog
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Jerry Nguyen

Jerry Nguyen is an Associate Software Engineer on the Applied AI Consulting and Engagement team (ACE) in the office of the CTO at Red Hat. He recently graduated from the University of Massachusetts - Lowell with a B.S. in Computer Science. Jerry likes to watch movies, and go fishing.

  • Infusing GitOps Pipelines with LLM-Powered Manifest Intelligence
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Jim Ramsay

Jim Ramsay is a software engineer with over 20 years of experience in telecom, storage, virtualization, and containerization, currently at Red Hat in the precision timing team focusing on delivering high-precision timing solutions for OpenShift customers. In his spare time he enjoys writing and playing music.

  • Time for Clarity: Aligning Red Hat, Vendors, and Customers with PTP Testable Requirements
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Joel Hernandez

I am an experienced IT professional with a strong background in containers, virtualization, and infrastructure management. I focused on leveraging OpenShift to enhance operational efficiency, scalability, and agility within enterprise environment

  • KubeVirt Without Fear: Running VMs and Containers Together on One Platform
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John Walter
  • Game Day:  AWS and Red Hat Enterprise Linux automation quest (Day 1)
  • Game Day:  AWS and Red Hat Enterprise Linux automation quest (Day 2)
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Jordi Gil

Engineer by trade, SciFi and fantasy reader by passion, I devote my time between work and taking my kids to their after school activities. In between I try to squeeze in a bike ride or two per week to keep in good shape. Love spicy food, specially Thai food. They say chillies keep you young, so I keep eating them with a passion.

  • When Your Kubernetes Cluster Fixes Itself at 3am — And You Can Prove It Did the Right Thing
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Jose Luis Vazquez Burgos

FinX Team Leader

  • Compliance as Code for Finance: Automating Controls, Audit Trails, and Recovery
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JR Valdes

J.R. Valdes is a software engineer at Red Hat on the Windows Containers team, where he contributes to the Windows Machine Config Operator (WMCO) for Openshift. He is also a Kubernetes upstream contributor who helped promote the NodeLogQuery feature (KEP-2258) to General Availability in Kubernetes 1.36. He is active in SIG Windows and focused on making hybrid Linux/Windows Kubernetes clusters a production reality.

  • Why a Linux Company Hired Me to Build for Windows
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Justin Sun

Engineering Manager at Red Hat

  • AI Coding Agents
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Kaitlyn Carcia Poulin

I am the Founder and Coach at The Parallax Practice, where I teach individuals how to thrive within complex systems without losing their sense of self. With over a decade of experience in the software engineering industry, spanning kernel development, quality, and release engineering, I understand the high-pressure mechanics of technical delivery. I’ve built a career on the belief that team growth, retention, and on-time delivery are best achieved through psychological safety and individual well-being. Today, I leverage my previous background as a Senior Engineering Manager and ongoing clinical mental health training to help leaders navigate the intersection of technical excellence and human-centered leadership.

  • Single Threading for the Human Brain
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Kevin Hatchoua

Kevin Hatchoua is a Senior UX Designer specializing in developer platforms and cloud-native technologies. At Red Hat, he works on OpenShift, shaping experiences across virtualization, networking, and catalog systems to make complex infrastructure more intuitive for developers and platform engineers.

His work focuses on simplifying end-to-end workflows, aligning user needs with business strategy, and driving measurable UX impact through research, analytics, and cross-functional collaboration.

Beyond his core role, Kevin contributes to STEM education initiatives such as STEMATCH, BU Spark, Quinsigamond Community College Mentorship helping introduce students to computer science. He is also exploring how AI can enhance design, learning, and developer productivity, while building hands-on projects to deepen his technical fluency.

  • The Evolution of Deceptive UX Patterns
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Khushi Teli
  • Scaling Community Storytelling with Open-Source AI: Building an End-to-End Video Processing Pipeline on Red Hat OpenShift AI
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Kyle Sayers
  • Demystifying Quantization: Accelerating Open-Source LLM Inference with Red Hat AI
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Lalatendu Mohanty

I am an open source, free software enthusiast and advocate. I think world will be better with free and open source software.

I am a software engineer by profession and currently employed by Red Hat

  • From Source to Production: Securing Python AI Stacks Against Supply Chain Attacks
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Lenka Kulajtova

As a Scrum Master in Red Hat's RHEL Core Platforms, I guide Infrastructure Services teams through their Agile transformation journey. With a passion for continuous improvement, I specialize in implementing Scrum practices that boost team collaboration and efficiency. With my teams we tackle the unique challenges of Agile adoption on both our teams' level, and a larger-scale organizational level.

  • Surviving Scrum: A Guide for People Who Have to Do It Anyway
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Lina Chishti
  • AI in the Workplace
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Luis Santiago Vazquez

Contribute to the company with my personal and professional knowledge, ethics and skills to empower the organization and achieve mutual benefit. Looking for an engineer position with a fast-paced and ambitious company where I can apply and enhance my technical abilities.

Luis Santiago Vázquez Burgos is an Associate Principal Account Solution Architect at Red Hat, based in Mexico City, with nearly six years at the company designing and delivering enterprise solutions across Linux, automation, and cloud-native technologies. Before Red Hat, he worked as a Solution Architect at Experian and spent six years at Ericsson supporting Online Charging System deployments across Latin America, North America, and the Caribbean, building a strong foundation in telecommunications, systems integration, and infrastructure engineering. He holds a Master of Science in Microelectronic Engineering from Instituto Politécnico Nacional and a Project Management diploma from PMI, along with 17 professional certifications spanning Red Hat Enterprise Linux, OpenShift AI, and Event-Driven Ansible. An active member of the tech community,

  • GPUs, DRA, and Smarter Scheduling for AI: Preparing Kubernetes for Accelerated Workloads
  • KubeVirt Without Fear: Running VMs and Containers Together on One Platform
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Madhu Goutham Reddy Ambati
  • llm-d-async: Efficient Asynchronous Inference for Batch Workloads
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Mairin Duffy
  • How Project Lightwell is Rewriting Open Source Security
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Matthew Heon
  • Containers BoF
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Max Cao

Hey, I'm Max!

I am an active member of the Kubernetes Autoscaling SIG and I currently work as a Software Engineer on the OpenShift Autoscaling team at Red Hat.

  • Hybrid Cloud Karpentry: Autoprovisioning on all Infrastructures
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Meera Malhotra

I'm a software engineer at Red Hat Research where I work with students, researchers, and professors to make infrastructure more accessible with the Mass Open Cloud!

  • GPUs in the Classroom: Using Kueue on Openshift AI to make GPU use in academia cost effective
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Meriem Elkoudi
  • Optimizing Container Image Updates: Modernizing Tar-diff From an Intern’s Perspective
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Michael McCune

Michael McCune is a software developer creating open source infrastructure and applications for cloud platforms. He has a passion for problem solving and team building, and a lifelong love of music, food, gaming, and culture.

  • Hybrid Cloud Karpentry: Autoprovisioning on all Infrastructures
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Michael St-Jean

Michael St-Jean leads technical strategy for Red Hat's global partner ecosystem developing initiatives that deliver business value for organizations around the world. Michael works with cross-functional teams to help organizations solve complex business challenges with innovative technology solutions and strategies.

  • Codify Distributed Architectures - build, maintain, deploy with Validated Patterns!
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Mohamed Bouchtout
  • Scaling Hermetic Container Builds in Konflux for Lightwell
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Mohamed Elsakhawy

Mohamed Elsakhawy received his B.Sc. from Alexandria University, Egypt and his M.E.Sc. in Ph.D. in Computer Science from Western University, Canada. He served as the Operational Lead of Compute Canada’s Cloud National Team between 2017 and 2021.

He served as the Vice-Chair/Chair of the OpenStack user committee between 2019 and 2020. Between 2022 and 2023, he was an Adjunct Professor in the Electrical and Computer Engineering department at the University of British Columbia, Canada.

  • The Agent is out for your job: A Cloud Engineer's guide to working with the Agent
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Moryan Tchoumi Noukoua
  • The Contributor Tax: Supporting OpenShift Without Crushing Upstream Velocity
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Naveen Miriyalu

Senior Software Engineer at RedHat , trying to understand my bit about Inference engines :) . Have some exposure to performance modelling and analysis of datacenter CPUs.

  • Profiling and Optimizing vLLM for Large Multimodal MoE Inference
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Neal Gompa

Neal Gompa is a developer for–and contributor to–Fedora, CentOS, AlmaLinux, and openSUSE. Neal focuses primarily on the base Linux system components, such as package and software management, and desktop Linux. He believes in “upstream first,” which has led him all over the open source world. In addition to open source work as a consultant through Velocity Limitless, he is also a co-host on the Sudo Show podcast where he talks about "the business of Linux."

  • Transactional Systems, in the Fedora Ecosystem
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Nehanth Narendrula
  • Your Phone Can't Run a 27B Model - Unless You Teach It to Share!
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Ohad Aharoni

Ohad Aharoni is a Software developer for the Validated Patterns team at Red Hat.

  • Codify Distributed Architectures - build, maintain, deploy with Validated Patterns!
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Omari Gaskins Jr

Omari Gaskins Jr. is the creator of DocuSOR, the first platform that executes and validates documentation to prevent drift and accelerate developer onboarding. As a Software Engineer at JPMorgan Chase for the last 5 years, he has worked on hundreds of different applications, with on prem and public cloud integrations, managing the scale that comes with working for a large global enterprise.

  • Your Outdated Docs are Costly: Why You should be writing tests for your docs
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Peter Hunt

Peter Hunt is a Principal Software Engineer working at Red Hat. Passionate about free software, Peter focuses on being a chair for SIG node, maintaining CRI-O, and ~writing~ squashing bugs. Outside of the virtual world, Peter likes collecting floral-printed pants, cooking, and dancing.

  • We Should Take Our Pods and Push Them Somewhere Else: Checkpoint/Restore in Kubernetes
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Raghuram Banda
  • When Your Kubernetes Cluster Fixes Itself at 3am — And You Can Prove It Did the Right Thing
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Rahul Rajesh

Hi, I am an Associate Software Engineer at Red Hat working on the Networking Services Team. I work on open source Linux network management tools like NetworkManager and nmstate.

I graduated in December 2025 from University of Massachusetts Lowell with a Bachelor's degree in Computer Science.

  • Rethinking Linux Network Management: from Connection Profiles to Cloud Native
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Rajin Kichannagari
  • Reimagining Internships Through Cross-Team Feature Development
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Rohan Awhad

Hey there, my name's Rohan. I work on LLMs post-training, specifically synthetic data curation and training strategies like on-policy distillation, lora-finetuning, and rl-training.
I also work on agents using claude-code as harness, and building harnesses for specific use-cases.

  • The Practical Engineer’s Guide to RL Post-training
  • The Cheapest Way to RL tune LLMs: Getting Started with GEPA
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Rohan Devasthale

Based in Boston, MA, I am a Senior Software Engineer within Red Hat’s AI Platform Core Components team where I focus on building the foundational infrastructure that powers modern AI workflows.

Originally from Pune, India, I bring a global perspective to my work and life. Apart from my work, I like exploring new travel destinations, scouting the best local food spots, or staying active on the badminton court.

  • From Source to Production: Securing Python AI Stacks Against Supply Chain Attacks
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Romain Arnaud

I'm a Principal Software Engineer at Red Hat. In previous roles, I built and shipped platform tooling—most recently the Trusted Software Factory installer for the Advanced Developer Suite. I've spent 20+ years improving and automating developer workflows, turning messy problems into reliable systems, and leading teams with efficiency and a strong focus of added value.

  • Build a Multi-Product Kubernetes Solution with Helmet (Hands-On)
  • Helmet: Composing Multi-Product Kubernetes Installers Without Losing Your Mind
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Rosy-Glorious Miki

I am a CS major at UMASS Lowell, and I work as a Software Engineer Intern with the RHEL for Edge team.

  • Optimizing Container Image Updates: Modernizing Tar-diff From an Intern’s Perspective
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Sage McTaggart
  • Security Process Improvements in Ceph and Rook ​
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Sahana Sreeram

Hi! I'm Sahana, a senior at Duke University studying computer science and statistics. I'm a former Red Hat intern and just completed my third internship with Red Hat this past August. I'm passionate about data and security as they relate to AI, and am involved with research at Duke on studying and evaluating ML model homogeneity. Excited to be a part of DevConf this year.

  • Building In-House Data Agents on RHOAI
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Sai Nellutla
  • Can AI Evaluate Startups? Building a Multi-Agent Due Diligence Pipeline
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Sally O'Malley
  • Welcome
  • Closing + Trivia!
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Sana Sharma

Sana is a Software Engineer at Red Hat who works on real time virtualization as well as memory management.

  • Don't Outsource Your Brain
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Sania Alex

Sania Alex is a Senior Software Engineer at Google, leading Optical Circuit Switch operations for optimizing workload scheduling and capacity on TPUs (Tensor Processing Units). Her team is responsible for defending infrastructure SLOs for unified, efficient, and reliable ML production infrastructure (TPUs and GPUs) across Alphabet. She is a seasoned Software Engineer with 8 years of expertise in software development, cloud computing, and machine learning. Her impressive career includes delivering key projects for Amazon Web Services' Simple Storage Service (S3). Sania specializes at optimizing ML resource usage and capacity sharing across Google's powerful ML hardware, which underpins core Google products like Gemini, a large language model powering Google Search and other products. When not working to enhance the reliability and efficiency of ML hardware, Sania enjoys spending time with her family and immersing herself in a good book.

  • The Hardware Hunger Games: Why Your AI Training Depends on Infrastructure SLOs
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Shawn W Dunn

Lead Developer, Kalpa Desktop
LXQt Maintainer openSUSE/Fedora
Current openSUSE Board Member

  • Transactional Systems, in the Fedora Ecosystem
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Shivansh Kuchchal

I am a Senior Software Engineer at Red Hat, working on large-scale backend systems and cloud platform integrations. I have about 7 years of experience building distributed systems, with a focus on consensus, fault tolerance, and system design.

Previously, I worked at KNNX Corp, where I built blockchain-based systems and led a development team. My work has involved applying concepts such as quorum-based systems, distributed coordination, and high-availability design in production environments.

I have also presented technical topics internally and enjoy breaking down complex distributed systems concepts into intuitive mental models.

  • Consensus 101
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Shubhank Saxena

Shubhank is a backend and infrastructure engineer and a hacker at heart. He leads technology at First Round's On Me, holds three patents in assistive technology, and builds AI agents and open-source tools for fun. A Google Summer of Code and MLH open-source alum, he's most at home in systems design and infrastructure. More at shubhank.dev.

  • The Model Is a Commodity. The Harness Is the Product
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Shubhra Jayant Deshpande

Shubhra Deshpande is a software engineer working on large-scale cloud-native infrastructure and developer platforms. She focuses on building reliable, production-grade systems that sit at the intersection of distributed systems, DevOps, and emerging AI workloads.

Her work spans platform engineering, container ecosystems, and operationalizing machine learning systems in real-world environments. She is particularly interested in how existing cloud-native primitives can be reused to simplify the lifecycle of modern AI systems.

  • Unsigned Models Are the New “curl | bash”: Securing the LLM Supply Chain
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Simon Baird

Simon Baird is a software engineer at Red Hat and the technical lead for Conforma, an open source project that helps organizations secure their software supply chains through artifact verification with Sigstore and policy enforcement using OPA.

  • Closing the Gap Between Build Evidence and Compliance Enforcement
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Sridhar Narayanan

Sridhar Narayanan is a cybersecurity strategist and alliance leader with 18+ years of experience spanning product management, enterprise technology, strategic partnerships, and go-to-market execution. He serves as Director of Strategic Technology Alliances at AppViewX, where he leads ecosystem strategy focused on machine identity security, certificate lifecycle management, PKI modernization, quantum-safe readiness, and trust orchestration.

Over the course of his career, Sridhar has worked at the intersection of technology innovation and business growth, building strategic collaborations across infrastructure, cloud, AI, and cybersecurity markets. His experience includes leadership roles at EMC, Dell Technologies, and IBM, where he helped connect emerging technologies to customer needs, partner ecosystems, and market opportunity.

His current areas of focus include non-human identities, AI-driven workloads, cryptographic agility, and post-quantum security transformation. He brings a practical, market-facing perspective on how enterprises can use ecosystem partnerships, platform strategy, and modern trust models to accelerate adoption, strengthen resilience, and prepare for the next era of cybersecurity.

  • Trust in the Quantum Age: How Crypto-Agility and Identity Frameworks Must Evolve to Survive Quantum Computing and Agentic AI
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Sridhar Rangu

Sridhar Rangu is a Senior Program Manager and Digital Transformation Leader at XSell Resources, supporting CVS Health (Fortune 4). With 20+ years of IT leadership experience, he specializes in AI-driven automation, cloud modernization, enterprise architecture, and large-scale program delivery. Sridhar has led multi-million-dollar initiatives across healthcare, automotive, and technology sectors, driving measurable business outcomes through strategic planning, innovation, and cross-functional leadership. He holds a PMP certification and an Executive MBA, and is recognized for transforming complex environments into high-performing digital ecosystems. Sridhar actively contributes as a speaker, mentor, and judge in AI, cloud, and digital innovation forums

  • Powering Enterprise Transformation with AI, Cloud, and Modern Platforms
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Sruthi Duvvuri

Sruthi Duvvuri is an Associate Software Engineer at Red Hat. Having recently transitioned from college to a professional engineering role, she quickly realized that the biggest challenge for students isn't just writing code—it's managing the complexity that comes with it. Sruthi is dedicated to breaking down the professional tools and workflows used in the industry into practical steps that students can actually use. Her goal is to give emerging developers a head start by showing them how to organize, monitor, and deliver projects the way they are handled in production.

  • From Idea to Industry: Bridging the Gap to Professional Application Delivery with Agentic AI
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Suhruth Vuppala
  • 10 Layers Deep: Securing an AI Agent Gateway on Kubernetes
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Surya Pathak

Senior AI Engineer

  • From Traces to Fixes: Building Resilient AgentOps with Failure Mode Analysis
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Swetha Vijayaraghavan

Swetha Vijayaraghavan is a software engineer with 18+ years of experience. She has worked on building sofware applications for various domains including eCommerce, Finance and Infrastuecture. Currently she works as an Infrastructure SRE building, tools, dashboards and automation for the reliability ML platforms within Google.

  • The Hardware Hunger Games: Why Your AI Training Depends on Infrastructure SLOs
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Taylor Agarwal

AI Engineer @ Red Hat

  • Unstructured-to-Structured ETL: Automating Contract Metadata Extraction with Docling and GenAI
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Tetiana Synytsyna

I am an Android Engineer with 6 years of experience building and scaling large production applications using modern Android architecture and Jetpack Compose.

I’ve worked on apps with 1M+ downloads, focusing on performance, maintainability, and real-time features in environments with diverse device capabilities, including low-end hardware.

Most recently, I led a large-scale refactoring of a real-time production system that had reached its architectural limits under new requirements. This work involved redesigning module boundaries, improving state management, and enabling the system to scale safely as new features were introduced.

I enjoy sharing practical, production-driven engineering experiences, especially around system design, scalability, and making architectural trade-offs in real-world applications.

  • When Features Stop Scaling: Refactoring Real-Time Systems for Growth
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Thameem Abbas Ibrahim Bathusha

Software Engineer working in PSAP. Focusing on vLLM/llm-d

  • LLM-Tuna 2.0: Agentic Profiling and Knowledge-Driven Optimization for vLLM
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Urvashi Mohnani

Urvashi is a Principal Software Engineer on the OpenShift MCO Team at Red Hat. She has spent the last few years developing Open Source container tools including Podman, Buildah, CRI-O, Skopeo, Kubernetes, and OpenShift. She is passionate about sharing her work and has given talks at various conferences including KubeCon, DevConf, and SCaLE. Urvashi is also a co-organizer of DevConf.US and an instructor at Boston University.

  • Welcome
  • Closing + Trivia!
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Vito Cappello

Vito Cappello is a Lead DevOps Engineer at IBM and an OpenClaw maintainer 🦞. He runs OpenClaw as an always-on agent across his homelab and family production environment, feeding real-world failures and hurdles back into upstream fixes and enhancements. His work focuses on running agents on bare metal and building infrastructure you can depend on.

  • OpenClaw: From Homelab to Enterprise
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Yahav Manor

Yahav Manor is a UX Researcher, focusing specifically on agentic AI development and evaluative research. She works on Red Hat OpenShift AI (RHOAI), conducting mixed user and agent research methodology to surface pain points and opportunities in the RHOAI dashboard. She also contributes to the AI-driven software development lifecycle on Red Hat AI, advocating for the inclusion and importance of user experience in agentic designs and processes. She also is on the team that runs product analytics for RHOAI, leveraging internal tools to track behavioral analytics. Ultimately, Yahav utilizes these various avenues of quantitative and qualitative data to develop user journeys and stories, empowering them to be the center of any successful design solution.

Yahav particularly thrives when she is able to combine her passion for AI ethics with UX research and design projects. She has led several talks for the UXD team centered around AI ethics and has completed numerous courses in this field. She currently contributes to agentic evaluation design solutions and AI safety on RHOAI.

She is also a part of several education-centered initiatives, collaborating with senior engineering capstone teams at Tufts University and co-leading hackathons at Red Hat's Boston Office

  • The Evolution of Deceptive UX Patterns