Highlights
Joining the DevNetwork Advisory Board
Selected to DevNetwork's 2026 AI/ML Advisory Board, helping shape content across its global developer and AI conferences.
Highlights
On Tech Magazine: Making Technical Debt Compete for the Roadmap
My take in Tech Magazine's expert roundup on balancing technical debt against new features.
Highlights
The AI-Era PM: Becoming a Strategic Technology Leader
I spoke at a PMI San Francisco Bay Area session on how PMs can move beyond execution to become strategic technology leaders in the AI era.
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Notes From Chairing a Session at CSCE 2026
A morning of AI research, from rocket design to AI governance, and what stood out from the chair's seat.
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On CTO Sync: Winning Support to Pay Down Technical Debt
CTO Sync featured my approach to winning stakeholder support for technical debt paydown: weighing blast radius, exposing consequences to leadership, and reserving a fixed slice of every cycle for paydown.
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CloudX 2026: How Do You Forecast Hardware at Billion-User Scale?
Invited speaker at CloudX 2026 (Santa Clara, Sept 1-3), co-located with API World + AI TechWorld. Speaking on how to forecast hardware capacity for AI infrastructure at billion-user scale.
Highlights
On Mashable: Building AI Infrastructure at Billion-User Scale
Mashable profiled my work leading AI infrastructure at billion-user scale: lifting model deployment success from 60% to 99%, cutting scale-up time from three days to two hours, and a GPU efficiency redesign worth an estimated $20M in savings.
Highlights
Kong API + AI Summit 2026: Operational Lessons from Running Large-Scale AI Inference
Invited speaker at the Kong API + AI Summit 2026 in Los Angeles (Sep 30 – Oct 1). A practitioner session on the operational realities of running large-scale AI inference: deployment coordination, GPU and infrastructure constraints, performance tuning, and reliability under rapid model iteration.
Highlights
AI Infra Summit 2026: What It Takes to Run AI Infrastructure at Billion-User Scale
Upcoming: I'm speaking at AI Infra Summit 2026 (Santa Clara, Sept 15-17) on what it takes to run AI infrastructure at billion-user scale.
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Session Chair, IEEE CONIT 2026
I'm serving as Session Chair at the Sixth IEEE International Conference on Intelligent Technologies (CONIT 2026) in Hubballi, India, on June 20, 2026.
Highlights
IEEE MetroInd 2026: Characterizing GPU Capacity and Computational Cost in Production AI Inference
My paper on a replica-centric capacity-planning framework for GPU and Multi-Instance GPU (MIG) based AI inference platforms was accepted at IEEE MetroInd 4.0 & IoT 2026 in Rome, Italy.
Highlights
Budapest Data + AI Forum 2026: How to Engineer Reliability at Scale
I spoke at the Budapest Data + AI Forum 2026 on why ML deployments fail in production and how to engineer reliability at scale. Session abstract, key takeaways, and links.