Curriculum Vitae
Education
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U.C. Berkeley — B.A. in Data Science and Applied Mathematics
Expected Graduation: May 2026 • GPA: 3.81
Selected Coursework: Machine Learning, Natural Language Processing, Information Theory, Probability Theory, Abstract Linear Algebra, Real Analysis
Experience
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AI Engineer — Robyn Dawes Institute
January 2026 – Present
Improved extraction accuracy from 47% to 70%+ row accuracy by enhancing PDF table parsing. Shipped a human-in-the-loop validation tool for side-by-side comparison of LLM vs. human-coded extractions. Contributed to a full-stack research platform (FastAPI, Next.js, Supabase, Docker) deployed on DigitalOcean.
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Data Science Intern — Rimble Analytics
September 2025 – December 2025
Performed error analysis across thousands of historical CS2 matches to identify algorithmic inefficiencies. Designed and shipped a refined team rating initialization strategy and roster volatility model.
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Research Assistant — U.C. Berkeley Haas School of Business
September 2024 – Present
Designed scalable data pipelines and automated evaluation tooling for benchmarking across twelve open- and closed-source LLMs under Prof. Don Moore. Developed novel uncertainty quantification methods to reduce expected-calibration error.
Technical Skills
- Languages: Python, TypeScript, SQL, R, C++, Bash
- Libraries & Frameworks: FastAPI, Next.js, PyTorch, HuggingFace, Pydantic, Pandas, NumPy, Scikit-learn
- Infrastructure & Tools: Docker, Git, GCP, Supabase, Slurm/HPC, Linux