Brighton Liu

[cite_start]I am an undergraduate student at the University of California, San Diego, pursuing a B.S. in Astrophysics with a minor in Data Science[cite: 8]. [cite_start]My academic journey began at UC Davis, where I double-majored in Physics and Data Science[cite: 9].

My primary focus is Quantitative Research. [cite_start]I specialize in building robust training and inference pipelines, designing evaluation harnesses, and ensuring reproducibility in ML workflows[cite: 4]. [cite_start]I have a strong foundation in Python, R, and SQL, utilizing tools like scikit-learn, XGBoost, and TensorFlow to solve complex data problems[cite: 5, 12].

[cite_start]Currently, I am a Data Science Intern at Himiway Intelligent Technology[cite: 17]. [cite_start]At Himiway, I design layered PostgreSQL ETL pipelines and train XGBoost models with time-series cross-validation to forecast demand and inform site selection[cite: 19, 20].

[cite_start]I am also the Project Lead for a KataGo x LLM initiative, managing a team of 6 contributors to fine-tune LLMs for explaining Go game strategies[cite: 35, 40].

[cite_start]If you are looking for a researcher who can bridge the gap between statistical theory and production-grade code, please contact me[cite: 2].