I build developer tools and machine learning systems. I enjoy tackling difficult math and CS problems and thinking about how systems are built, or building them myself.
- Building CLI and terminal tools in Rust.
- Exploring GPU compute with wgpu, shader programming, and creative coding.
- Interested in open-source software and looking to start contributing.
- Currently looking for roles in software engineering, ML systems, and backend development.
Tech stack: Python, PyTorch, FastAPI, TimescaleDB, Mosquitto (MQTT), Docker, SvelteKit An end-to-end satellite telemetry analysis platform. Uses PyTorch VAEs for anomaly detection on decoded SatNOGS telemetry frames, a streaming microservice architecture, and a real-time SvelteKit dashboard deployed via Docker Compose. |
Tech stack: Rust, Ratatui, Tokio A lightweight, async TUI for monitoring API health, configured via TOML. Handles concurrent HTTP polling without blocking the terminal render loop. |
|
Tech stack: Python, Jupyter Book, Scikit-Learn, PyTorch Complete solutions to exercises in An Introduction to Statistical Learning with Python, deployed as an interactive Jupyter Book reference (~1.9k annual readers). |
|
| Languages |     |
| ML & Data Science |        |
| Web & Backend |     |
| Databases |   |
| MLOps & Cloud |     |