The short version of my working life. The rest of the site goes deeper on teaching, ICPC, and research.
I’m an engineer who alternates between building systems and teaching people to build them.
Fifteen years across Google, Two Sigma, and startups — currently Chief Architect at Probook, building agentic AI for home services. On the side that isn’t really a side: adjunct at Columbia, ICPC coach, and Director of Internships at the ICPC Foundation. My research spans computer vision, networks, and programming systems, with 640+ citations.
Probook builds AI voice agents for home service businesses, backed by Andreessen Horowitz and Sequoia. I own the technical architecture: real-time speech, LLM orchestration, and the agentic workflows that turn dispatch, intake, and customer communication into tasks agents can execute reliably.
Directed development of Arklex’s open-source “Agent-First Organization” framework — the task-graph engine, distributed runtime, observability stack, and CI/CD, roughly 175K lines of Python across 169 modules.
Worked on execution systems for systematic trading strategies — measuring and improving how orders actually get filled.
Applied AI research that shipped into Google products, and core infrastructure for large-scale ML research. Tech lead for Google Kick Start, which grew from a regional contest into a competition with 110K+ participants worldwide.
I run the Foundation’s internship program — 107 completed internships and 19+ interns active now, across projects like the ICPC Archive, mobile app, and online training platform. I also chair the Competitive Learning Institute Symposium at the World Finals and co-chair an open-source curriculum covering 50+ algorithmic topics (50K+ downloads).
Fourteen course offerings through Fall 2026 in competitive programming and interview preparation, reaching 500+ students — evaluation results published in full, rough semesters included. 100+ individual mentees, with placements verified and listed.
Launched the inaugural issue (Vol. 1, No. 1, May 2025), featuring a co-authored review article, “Programming Contests, Competitive Programming Curricula, and how Everybody Benefits.”
Research on network effects, information cascades, and game theory in complex systems.
Focus on machine learning, computer vision, and scalable AI systems.
The Journal of Competitive Learning, 1(1) · 2025
Proceedings of the ACM on Programming Languages, 8 (OOPSLA1), 810–832 · 2024
ACM SIGMETRICS Performance Evaluation Review, 44(3), 7–14 · 2017
International Journal of Computer Vision, 107(1), 20–39 · 2014