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Nathan Balcarcel

@nathanbalcarcel

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Machine learning engineer and software developer focused on practical ML systems.

United States

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What I'm looking for

I seek roles building production ML systems or backend services where I can apply Rust/Python skills, collaborate with engineers, and produce measurable impact.

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.

Experience

Work history, roles, and key accomplishments

Teaching Assistant

Washington State University

Aug 2022 - May 2025 (2 years 9 months)

Facilitated learning for hundreds of undergraduates across five semesters by delivering office hours and code reviews, improving course comprehension and consistency while coordinating with five professors.

Python C C++BASH Code Review Instruction Grading Linux

Undergraduate Researcher

National Science Foundation

Jan 2022 - May 2022 (4 months)

Designed and implemented an AI agent for the original Doom game using symbolic state descriptions and pathfinding, optimizing performance with VizDoom and Docker as a benchmark for AI cognitive assessment.

Python Docker VizDoom Pathfinding Trigonometry Benchmarking

Education

Degrees, certifications, and relevant coursework

Washington State University

Master of Computer Science, Computer Science

Grade: GPA 3.20

Master of Computer Science (Thesis) with research developing machine learning models to predict crop phenology for real-time decision-making across Washington State.