Technical articles, a book, a peer-reviewed chapter, a working paper and policy work on responsible AI.
Choose an agent architecture before you build it, not after benchmarking. Complexity signatures for four machine families with matching lower bounds, reconciled against ten production workflows.
33 pages ✦ four case studies ✦ one documented failure
A framework for building and deploying agentic systems responsibly in the Indian context.
A practitioner's handbook on building AI systems that can be governed, audited and explained.
Eighty-six pages ✦ version 1.0, january 2026
Where quantum machine learning actually earns its cost against classical baselines.
Springer Nature, with Soujanya Ray ✦ ISEM vol 65, 205 to 233
A certification framework for responsible AI, proposing how Indian AI systems could be audited and labelled before deployment.
Sent to MeitY and NASSCOM ✦ draft v2, 2026
I write from experiments I run myself, which means I need access to the system rather than a brief about it.