At CRED, I built lending systems across underwriting, from risk-adjusted credit limits to offer allocation. My multi-objective allocation system increased disbursals by 8% without deterioration in offer quality, and my risk-adjusted limits model increased lending volume by 12% at comparable delinquency rates for sub-prime customers.
I also built production feature stores and monitoring pipelines, and developed models for fraud detection, reinforcement learning, and industry classification at Wells Fargo. Earlier, at Blackbuck, I built “Google Maps for trucks in India,” combining A* routing and machine learning in a web app for truck drivers.

