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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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evelindsayyy/README.md

Hi, I'm Grace (Luman) Zhan 👋

CS @ Duke (minor in Machine Learning & AI), building and evaluating LLM systems. I like taking an AI feature end-to-end, building it, proving it works, and improving the model behind it. Targeting Summer 2027 AI/ML internships.

Currently: model-evaluation & alignment work at Duke Code+ Program (LLM-as-judge + execution-based scoring, QLoRA-DPO) and sickle-cell-disease data research at the Duke Global Health Institute.

Tools I reach for: Python · PyTorch · Hugging Face (TRL/PEFT) · FastAPI · LangGraph · vLLM/Slurm · Docker · TypeScript/Next.js

Featured projects

  • lyrics_mood_predictor (live demo): fine-tuned DistilBERT for song-lyric mood prediction, served with FastAPI + ONNX, with SHAP explanations and Qdrant vector search over 76k songs.
  • trading-agent-analyzer (live demo): a multi-agent LLM stock analyzer (Streamlit UI built on the open-source TradingAgents / LangGraph engine) that produces comparative buy/sell/hold rationales.
  • ddl_reminder (live app): login-gated; demo GIF in the repo) — Next.js + Supabase deadline tracker I use daily: natural-language entry, email reminders, Apple Calendar feed, Canvas/Gradescope sync, installable PWA.

LinkedIn · lz302@duke.edu

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  1. lyrics_mood_predictor lyrics_mood_predictor Public

    Song-lyric mood prediction with explanations: FastAPI + ONNX serving a fine-tuned DistilBERT and a SHAP-explainable baseline, Qdrant vector search over 76k songs, CI, live demo.

    Jupyter Notebook 1

  2. ddl_reminder ddl_reminder Public

    Next.js + Supabase deadline tracker: natural-language entry, email reminders, Apple Calendar feed, Canvas & Gradescope sync, mobile PWA.

    TypeScript

  3. trading-agent-analyzer trading-agent-analyzer Public

    Multi-agent LLM stock analysis: Streamlit web app on the TradingAgents engine (LangGraph) — ticker in, debated buy/sell/hold analysis + beginner cheatsheet out.

    Python