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.

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.

Alex Callejas is Content Architect at Red Hat Global Learning Services (GLS) and a veteran contributor to the Fedora Project, representing the Fedora Mexico community. With a career dedicated to technical education, he specializes in transforming complex cloud-native concepts into accessible learning paths.
I am the author of 'Fedora Linux System Administration' (Packt Publishing) and a co-author/technical reviewer of the community-driven book 'First Steps in Linux'. My technical work is frequently featured on RedHat.com and Opensource.com, focusing on making enterprise technology accessible to the global developer community.
My mission is to empower the next generation of engineers by bridging the gap between traditional Linux environments and modern orchestration.

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.

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

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.

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.

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.

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.

Avi Press is the founder and CEO of Scarf, where he promotes open source sustainability through responsible usage analytics practices. Avi is also a board member of the Haskell Foundation, and a host on the Hacking Open Source Business Podcast.

Ayushi is an Associate Software Engineer at Red Hat, specializing in AI, python, and open source. With over 2 years of experience, she has worked on rule writing, log analysis, and proactive issue resolution. She is a mentor and public speaker, frequently sharing insights on open source, AI advancements, and career growth in tech. Passionate about scalable automation and AI-driven support systems, she strives to bridge the gap between engineering efficiency and real-world problem-solving.

Bill Murdock is a Senior Principal Machine Learning Engineer at Red Hat, where he works on agentic AI for Red Hat OpenShift AI. Before Red Hat, he spent 21 years at IBM Research, where he led the evidence scoring and ranking team behind IBM Watson's Jeopardy! victory. He holds a PhD in Computer Science from Georgia Tech, was an IBM Master Inventor with 25+ patents, and has published 50+ peer-reviewed papers.

Bryn M. Reeves is a Principal Software Engineer at Red Hat with 30 years of Linux experience. He is the maintainer of sos, boom, and snapm, and has worked extensively on device-mapper, LVM2, and Linux storage infrastructure. He implemented the DM/UDEV cookie synchronisation protocol natively in devicemapper-rs, and has the battle scars to prove it.

He is an experienced public speaker (and winner of multiple past DevConf "best talk" awards dating back more than a decade) with a long standing reputation for interesting, engaging (and humorous) demonstrations that present complex technical subjects in an accessible and friendly fashion.

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.

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.

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.

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.

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.

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.

Date Huang is a Solution Architect with 5 years of experience in cloud and datacenter networking. He is the creator of STUNMESH-go and maintainer of EZIO Project. His expertise includes AWS/Azure/GCP networking, OpenStack, Kubernetes, SD-WAN, and open-source development.

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

Software Engineer

Drew Minnear is an engineer on the Validated Patterns team.

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.

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.

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

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.

I am a software engineer building open, Kubernetes native AI platforms and developer tooling. Most recently I have been focused on making agentic workflows something whole engineering teams can actually depend on.

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.

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.

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.

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.

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.

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.

Passionate about automation in all its forms.

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 :)

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.

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.

Testing enthusiast and open-source evangelist.

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

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.

Jorge O. Castro is a community engineer, specializing in Open Source. A combination of engineering, contributor health, and end-user advocacy. Proving open source's business value to the largest companies in the world, so that they can support developers. Let's keep the modern world running, sustainably.

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.

Engineering Manager at Red Hat

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 background as a Senior Engineering Manager and clinical mental health training to help leaders navigate the intersection of technical excellence and human-centered leadership.

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.

Open-source software engineering leader and Staff Engineer working on OpenShift AI. I specialize in Kubernetes, AI engineering, DevOps, Golang, Java, and Python. I’m enthusiastic about exploring emerging tech and sharing what I learn by contributing to open-source projects, mentoring developers, and presenting at conferences.

I am an Associate Software Engineer at Red Hat and a full-stack developer working with Java, Python, React, MongoDB and cloud platforms including AWS, Azure, and GCP, along with experience in cloud marketplaces and AI MCP servers.

But beyond this, I have always been interested in deep learning, machine learning, and building real-world AI systems that move beyond theory into practical impact. I am particularly drawn to applications, where technology can solve meaningful human problems. I am also an active advocate of open source development and enjoy contributing to and learning from collaborative engineering communities.

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

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.

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.

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!

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.

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.

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.

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

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."

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.

Software Engineer at Red Hat working on Horizon EU Research Projects and OCTO Emerging Technologies.

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.

Rafael Vasquez is a software developer on the Open Tech team at IBM Research, where he contributes to open-source projects like vLLM and previously helped maintain KServe/ModelMesh. He enjoys sharing what he learns through conference talks, mentoring contributors, and creating tutorials for the developer community. His background spans self-driving car research, retail data science, and now the fast-moving world of LLMs and open source.

Raffaele Spazzoli is a full-stack enterprise architect with 20+ years of experience. Raffaele started his career in Italy as a Java Architect, then gradually moved to Integration Architect and then Enterprise Architect. Later he moved to the United States to eventually become an OpenShift Architect for Red Hat consulting services, acquiring in the process, knowledge of the infrastructure side of IT. Currently Raffaele covers a consulting position of cross-portfolio Red Hat products with a focus on OpenShift. For most of his career Raffaele has worked with large financial institutions allowing him to acquire an understanding of the processes, security and compliance requirements of large enterprise customers.
Around 2019 Raffaele became part of the CNCF TAG Storage and contributed to the Cloud Native Disaster Recovery whitepaper. Later he took the co-chair role for TAG Storage. Two major focus points for Raffaele are how to improve the developer experience by implementing internal development platforms (IDP) and more recently how to help organization run Virtual Machines in Kubernetes.

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.

Software Engineer @ Red Hat
I am currently working on cloud-native and automation-driven solutions. With a growing focus on DevOps and GitOps practices, he enjoys building and experimenting with technologies like Kubernetes and Argo CD.

Currently, I am exploring how AI can enhance deployment workflows and bring smarter decision-making into modern infrastructure systems. I am an active learner who shares his progress through projects, write-ups, and community discussions.

Software Engineer at IBM with 4+ years of experience specializing in the orchestration of Kubernetes storage via the Data Foundation Team. I have a proven track record of building operators for Rook, CSI, and NooBaa, alongside designing Disaster Recovery (DR) systems for cross-cluster resilience. My work focuses on providing reliable, high-performance storage foundations for modern containerized infrastructures.

Richard Mitchell is a Principal Engineer at Red Hat with 30+ years in software development, big data, and AI. He's a member of the ACE team, driving success for internal and external AI projects. Outside of work, he teaches motorcycle riding and crafts artisan chocolate bon bons.

Roberto is a Principal AI Architect working in the AI Business Unit specializing in Container Orchestration Platforms (OpenShift & Kubernetes), AI/ML, DevSecOps, and CI/CD. With over 15 years of experience in system administration, cloud infrastructure, and AI/ML, he holds two MSc degrees in Telco Engineering and AI/ML.

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.

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.

I’m a software engineer focused on building and operating large-scale frontend, platform, and AI-enabled systems. I’ve worked on monorepos, containerized platforms, and production AI integrations used by millions of users. I like sharing hard-earned lessons about system design, operability, and avoiding common engineering myths.

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.

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

Roy Belio is a Senior Software Engineer at Red Hat, focused on AI/ML infrastructure across the OpenShift ecosystem. He works on agentic AI, inference serving (vLLM, KServe, llm-d), and open source AI tooling including contributions to llama-stack and other opens source projects. Prior to Red Hat, Roy spent five years at Microsoft where he built a system-level optimization for Microsoft Defender that earned a patent. He holds a BSc in Data Science and Engineering from the Technion - Israel Institute of Technology.

Serial Technology Entrepreneur with multiple exits, currently building the future of software engineering through observability and AI with NodeSource, the Node.js Company.

Saiesh began in engineering, solving technical problems before bravely deciding people were the real puzzle. He became an agile practitioner, swapping DSA for delivery metrics and learning that debugging humans is far less predictable than debugging code. Today, he engineers high-performing teams with precision (just fewer hard hats and more sticky notes). When he’s not coaching teams, he’s probably reminding someone that “it depends” is, in fact, a complete answer.

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

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.

Satish Mane is a Software Maintenance Engineer at Red Hat working on the RHEL userspace. His primary focus is maintaining ABI compatibility over the 10-year enterprise lifecycle. He backports critical CVE patches like Node.js, Ruby, and Python packages without breaking downstream dependencies. This involves adapting modern upstream fixes for older toolchains, managing RPM macros, and passing strict Koji/TFT gating.

I have a background in applied mathematics, physical modeling and High Performance Computing on heterogeneous systems. At Red Hat, I am working on upstream PyTorch with a focus on distributed functionality to support inference and training on GPUs across multiple nodes.

Sharan Shirodkar is an AI Engineer at Prediction Guard, where he works at the intersection of AI engineering and enterprise go-to-market, helping organizations in regulated and security-sensitive industries design, deploy, and govern AI systems they can actually own and control. Over three years he has worked directly with customers across industries including manufacturing, healthcare, and financial services to move from fragmented AI experiments to production systems with real governance built in. With a Master's in Business Analytics from Purdue University and a background in data science, Sharan brings both technical depth and a practitioner's understanding of what it takes to make AI work under real-world constraints.

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

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.

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.

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.

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.

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.

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

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.

I am a junior studying Data Science at Boston University. I'm really interested in how machine learning can be used in healthcare, specifically building AI tools for medical image analysis. I'm also interested in applications of AI in a variety of fields. Outside of my classes, I co-founded a student science and engineering association chapter on campus and enjoy building practical data applications.

Senior AI Engineer

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.

Tahmid is a software engineer at RedHat, focusing on productizing one of the most popular open source llm inference engines, vLLM. His work involves setting up cicd infrastructures with many different hardware accelerators to build and test vLLM across a variety of platforms.

AI Engineer @ Red Hat

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.

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

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.

Vikas Mulaje is a Principal Software Engineer at Red Hat based in Pune, India, with over eight years of experience specializing in cloud-native technologies and Linux systems. he has built a robust technical profile centered on the OpenShift-vrtualization and Kubernetes ecosystems, utilizing languages like Python and Go to develop automation and infrastructure solutions. His expertise spans DevOps tools such as Gitops, Ansible, Docker, and Jenkins, and he is a recognized contributor within the open-source community, maintaining an active presence on platforms like GitHub and Quora to share knowledge on system administration and software engineering.

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

Yuti Vora is a product designer and independent researcher working at the intersection of design, AI, and human-centered technology. She holds a Bachelor's in Visual Communication and a Master's of Science in Experience Design with a focus on Human-Centered Technology Design.

Her relationship with design began at age five, with crayons, pencils, and paint, long before she had a name for it. That early curiosity about how things look eventually deepened into a curiosity about how things feel, and why people need what they need. It is a question she has been chasing ever since.
Having worked across multiple domains throughout her career, Yuti brings a rare cross-disciplinary perspective to her work, one shaped by the conviction that understanding all viewpoints is not optional, it is the work. She believes the learning curve never truly ends, and that this is precisely what makes design worth doing.

Her current research explores what happens to human agency and perceived control when AI-driven interfaces begin to read cognitive state through brain signals. This question sits at the frontier of HCI, neurotechnology, and ethical design. This work reflects a broader commitment to ensuring that as technology grows more intimate, it remains legible, trustworthy, and human.