At Uber, I build marketplace systems that serve real-time mobility signals at scale. I led a Tier-1 signal-serving platform from 3K to 140K+ QPS while sustaining 14ms p99 latency and 99.9% availability.
I’ve designed event ingestion, model shadowing, and observability platforms that reduce infrastructure costs, improve data quality, and support ML teams. My work includes a platform processing 40M+ daily predictions and a partner API powering 800+ out-of-home billboards across the US and Canada.
I’ve also launched Uber’s first third-party mobility integration in India, unlocking 10K+ supply partners and enabling 3K+ daily trips. Across Hailables, I built systems for upfront pricing, trip reconciliation, integration testing, offline payments, and marketplace trust controls.
Earlier, at Wells Fargo, I evaluated routing optimization algorithms for cash vehicle networks. I hold a B.Tech in Information Technology from the National Institute of Technology Surathkal and have competed in Google HashCode, ACM-ICPC, and CDAC AI Hackathon.
