CV

A full copy of my CV is available for download here.

Education

• M.S. in Engineering Science & Applied Mathematics, Northwestern University, 2026
• B.S. in Applied Mathematics, UC San Diego, 2024

Work Experience

• Sep 2025 – Mar 2026: ML Engineer Intern
  • GuruGame HK
  • Architected an ad campaign agent with multi-turn tool-calling and a RAG pipeline; constructed and augmented a 7,600+ sample SFT dataset; achieved 86%+ end-to-end task completion.
  • Open Sourced Version and Datasets: GitHub · HuggingFace
• Apr 2025 – Aug 2025: Software Dev Intern
  • Huatai Securities
  • Contributed to a RAG Q&A system over 2,000+ multi-format financial documents (PDF, PPT, scanned images, tabular data); applied GRPO alignment on DeepSeek-R1-7B; reduced hallucination rate from 8.0% to 1.2%.
  • Open Sourced Version and Datasets: GitHub · HuggingFace

Skills

• Machine Learning
  • SFT, PEFT / LoRA, RL Alignment (GRPO), RAG, Contrastive Learning, Dense Retrieval, Reranking, Synthetic Data Construction
• Languages & Infra
  • Python (PyTorch), JavaScript, SQL, PostgreSQL, Milvus, Docker, RunPod