Leading Without Authority: The Operating System of a Technical Program Manager

Every technical program manager eventually runs into the same uncomfortable fact: you are accountable for outcomes you cannot command. The engineers do not report to you. The architects do not need your sign-off. The executive who set the deadline will not write a line of the code that meets

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.

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.

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.

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.

How automation is changing managerial roles

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,

IEEE CSNT 2026: Operationalizing Site Reliability in Large-Scale Distributed Systems

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.

AI Infra TPM: Deploying Mission-Critical Models Faster Than Ever

OneIndia profiled my work on AI model deployment: cutting deploy times from days to hours, lifting success rates from roughly 60% to nearly 99%, and serving about 4x more requests per GPU.

On Zee Business: Why AI Hallucinates, and How to Use It Responsibly

I joined a Zee Business India 360° panel (Feb 2026) on AI hallucinations: why models confidently make things up, how to verify their output, practical prompt techniques, and where AI regulation stands across the EU, US, and India.

Vector Databases: Storing Meaning for the Age of AI

Every database we've met so far stores facts: a user's name, an order's total, a sensor's reading, a word in a document. The newest member of the family stores something stranger and more powerful: meaning itself. Vector databases are the data system

Time-Series Databases: The Data That Only Moves Forward

There's a kind of data that has quietly exploded in volume over the last decade, and you generate it constantly without thinking. Every time a server reports its CPU usage, every time an app records how long a request took, every time a thermostat notes the temperature, every

Search Engines: Finding the Needle in the Haystack

Type a few words into a search box and, in a fraction of a second, you get back the most relevant results out of millions or billions of documents, ranked best-first, with your typos forgiven and suggestions appearing as you type. We're so used to this that