- AI product engineer, distributed systems, building on LLMs since GPT-3.
- 250+ open-source PRs.
- Code is cheap, making it work at scale is hard.
Most interesting things I did this year (all open-source):
- Orchestrated 446k+ sandboxed agent runs (Claude/Codex/GLM on Modal) to research and fix issues in customers' products (here's the product)
- Built and launched Replay Session Summaries solo, analyzing 1M+ session recordings for 5000+ organizations (blog post on how I did it)
- Talked with 200+ users, did 24 video user interviews, and talked to users through small conferences (AI Tinkerers), large conferences (WAWTECH), online courses (AI Product Heroes), and collaborations (Every.to)
Latest pet project: BeatWombat - service with a neural network to analyze music and build playlists matching your running/walking/jumping rhythm.





