●​ Designed the AI-native engineering system in which coding agents operated under explicit architecture, typed contracts, automated tests, independent review, and bounded production controls ●​ Designed a reusable capability architecture in which typed operations inherited common planning, authorization, routing, presentation, and recovery paths, letting agents extend the system without repeatedly inventing infrastructure ●​ Encoded architectural rules into code generators and developer and agent skills, turning design conventions into executable constraints that automated cross-service consistency, validation, deployment, device operations, and recovery ●​ Established registry-driven test suites automatically extending coverage to new capabilities and cross-language checks preventing contract drift ●​ Designed a least-trust execution model requiring every privileged action to carry fresh, signed, single-use authorization, with executor verification and durable checkpoints preventing tampering, replay, and false success after failures ●​ Converted written architecture and product requirements into 444 merged pull requests in one 85 days sprint, demonstrating high engineering throughput without a conventional engineering team

●​ Developed causal-inference methods that defined Lyft's CEO-adopted ride-experience North Star and powered real-time optimization generating over $50M incremental profit in 2020 ●​ Applied causal inference to measure incremental returns on $80M annual partnership investments, guiding capital allocation ●​ Developed graph-based marketplace metrics identifying regional under- and oversupply, informing approximately $1B in annual driver and rider incentives ●​ Built production ML for destination prediction (31% accuracy gain), dynamic pricing using live price elasticity, and online fare-bias correction ●​ Progressed from L4 IC to hands-on leadership of 14 Data Scientists and ML Engineers ●​ 3 U.S. patents in transport and pricing optimization, and geolocation; 2015 Hackathon winner

Developed ML for fraud detection; received IBM Eminence and Excellence Award