Machine learning engineer working on perception pipelines for robotics: segmentation, 3D mesh, pose and PII redaction across egocentric, stereo and fisheye video. Before that I built synthetic data pipelines for enterprise agents, shipped a voice assistant to npm, and spent three years finding critical vulnerabilities in software people use every day.
What I am building now
Robot CI for learned robot policies. It tells a robotics lab whether a policy change is real, before the robot, the eval or the launch demo tells them the hard way. Six modules: a fail-closed contract checker that proves the policy you deployed is the one you evaluated, honest statistics that refuse to print a rate without its interval, episode records and fleet metrics, drift fingerprints for the cell and the arm, a calibrated outcome judge that abstains instead of guessing, and a runtime guard.
Everything in it is measured on public data and published with the scripts that produced it, including the runs that contradicted earlier claims. The headline finding is a correction to my own tool: ten failure detectors, nine of them from the recent literature, all sit at chance on the task failures real robots actually had, while catching injected execution faults almost perfectly.
DESCRIBE SELECT * FROM (...) statement they never wrote. Execution-phase errors now drop that location block while keeping the diagnostic text, and parse errors keep theirs, because those do quote the caller's own SQL.Ready to train logs and usable models for physical AI in dark stores, factories and warehouses.
A stablecoin payments app built for B2B businesses and remittance, with a waitlist of businesses and individuals.
Bachelor's in Science, Computer Science. Computer Science, Maths and Physics.
Physics, Chemistry, Maths and Computer Science. 85.6%.
Physics, Chemistry, Maths and Computer Science. 80%.
JavaScript, Python, React Js, HTML, CSS, SQL, Linux, APIs, Node js, Git and MongoDB.
Hindi, English, Awadhi and Bhojpuri.
Chess, football and the internet.
Writing something.