Nathan Balcarcel

I am a machine learning engineer and software developer with a Master of Computer Science and hands-on experience building production-oriented ML models and systems. My thesis work produced crop-phenology prediction models using daily weather data to support real-time agricultural decisions, and I have an upcoming DOI for that research.

I have built and open-sourced systems in Rust, Python, Go, and Svelte — including a Rust feed-forward neural network library with thousands of downloads, a checkers engine using a genetic algorithm, and a cross-platform music player combining Svelte and Go. I also optimized AI agents using VizDoom and containerization to benchmark cognitive capabilities.

As a teaching assistant and undergraduate researcher, I mentored students across multiple semesters and collaborated with faculty to maintain course quality while delivering reproducible research and pragmatic software solutions. I prioritize clear communication, maintainable code, and measurable impact.