Highlights
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.
Talks, publications, presentations, and recognition.
Highlights
A morning of AI research, from rocket design to AI governance, and what stood out from the chair's seat.
Highlights
Upcoming: I'm speaking at a PMI San Francisco Bay Area session on how PMs can move beyond execution to become strategic technology leaders in the AI era. Friday, July 24, 5:30-6:30 PM PDT, via Zoom.
Highlights
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.
Highlights
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.
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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
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
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.
Highlights
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
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
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.
Highlights
I recently sat down with Business Standard for their Manager's Mantra series (BSmart). What started as a conversation about automation and managerial roles turned into a wide-ranging discussion: enterprise cloud strategy, the economics of AI infrastructure, how to build data platforms people actually use, modernizing legacy systems,
Highlights
I presented our paper "Operationalizing Site Reliability in Large-Scale Distributed Systems: Shifting Ownership Left" at IEEE CSNT 2026 (Al-Khobar, Saudi Arabia): predictive models that forecast failures to keep large-scale distributed systems reliable.