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.
Highlights
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.
Highlights
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.