DevConf.IN 2025

Vincent Caldeira

Vincent Caldeira, CTO of Red Hat in APAC, is responsible for strategic partnerships and technology strategy. Named a top CTO in APAC in 2023, he has 20+ years in IT, excelling in technology transformation in finance. An authority in open source, cloud computing, and digital transformation, Vincent frequently speaks on data analytics, AI/ML, and IT sustainability. He is Technical Advisor of OS-Climate, a member of the GSF Green AI Committee and LF FINOS Technical Oversight Committee.


Company or affiliation

Red Hat

Job title

CTO APAC


Sessions

02-28
09:20
70min
Symposium on Academia, Industry & Open Source: Shaping the Future of Technology!
Vincent Caldeira, Brian Proffitt, Abhisyant Anasapurapu, Ravinder Pal SIngh, Dr. Sukhada Bhingarkar, Mangesh Surve

Symposium on Academia, Industry & Open Source: Shaping the Future of Technology!

Panel:
(1) Vincent Caldeira, Chief Technology Officer, APAC, Red Hat
(2) Abhisyant Anasapurapu, Head, Product Development & Engineering, NxtGen
(3) Dr. Sukhada Bhingarkar, Asso. Dean - External Relations, School of CSE, MITWPU, Pune
(4) Brian Proffitt, Sr. Manager, Community Outreach, OSPO, Red Hat
(5) Ravinder Pal Singh, Director Software Engineering, Amdocs, India

Moderator:
Mangesh Surve, Sr Director, Tech Solution Architecture & Sales, Red Hat

Swami Vivekananda Auditorium (capacity 700)
03-01
10:10
35min
From Models to Systems: Designing Open AI Systems that are Trustworthy
Vincent Caldeira

As AI systems transition from standalone models to fully integrated, Agentic systems, the need for trust, transparency, and safety has never been greater. This session will explore how to design and operationalize trustworthy Open AI systems that balance autonomy with accountability. Drawing from recent research on risk alignment​, model openness​ and Agentic AI governance​.

The session will leverage an example of Agentic AI system that leverages both multi-agent orchestration and function calling to achieve dynamic, goal-driven behavior, to showcase how to implement core safety practices such as risk alignment, user alignment, and real-time intervention controls, using open source tools and frameworks to ensure that AI agents can be safely deployed in real-world environments with high variability and uncertainty. Through this, we hope participants will learn the key principles of designing AI systems that can act independently while maintaining rigorous safety standards.

AI, Data Science, and Emerging Tech
Raigad Room | Chanakya Building / School of Business (capacity 200)