Fangyuan Huang is a Machine Learning Engineer with nine years of experience building production ML and full-stack software, blending research-grade models with user-facing applications. She has shipped document understanding pipelines and NLP/CV models at UiPath, improving accuracy and reducing response times, and later led engineering teams to deliver community-focused software at Glocal Foundation. Comfortable across Python, PyTorch, React, Flutter and Rust, Fangyuan moves between model development and front-end/full-stack implementation, having delivered dozens of features and reusable modules in prior roles. Her background spans data science research on biomedical signals, startup operations as a co‑founder who scaled retail locations, and mentoring students during her MS at Northeastern, reflecting both technical depth and product intuition. Colleagues describe her as someone who quickly turns machine learning ideas into usable, maintainable software while fostering team learning and pragmatic engineering practices. She’s equally likely to prototype an IoT demo or discuss sci‑fi metaphors for AI—an engineer who pairs curiosity with impact.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Northeastern University
Master's degree, Data Science, Master's degree, Data Science at University of Rochester
Contributions:83 PRs, 104 pushes, 26 branches in 2 months
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