Raymond
Jow
Distilling complex systems into elegant form.
The builder.
I studied physics and computer science at Harvard. Since then I have written simulation and automation software at SpaceX and built intelligent quantum computers as a founding engineer at Conductor Quantum. I'm currently exploring ideas for my next chapter, and I'm particularly drawn to the idea of making fluid interfaces in how we use and interact with AI on a daily basis.
Systems / Rust
openmemory
Persistent agent memory and hybrid text search behind an MCP server. A memory for machines that forget.
View on GitHubLearning / Python
optimize
A simple automatic differentiation library for gradient-based optimization, built from first principles.
View on GitHubEveryday / Tools
Personal Sous-Chef
A cooking companion that plans, scales, and paces recipes in real time.
Civic / Data
SF Parking Tracker
Street data distilled to one answer: can I park here?