Hackathons, datathons, and applied ML work — from social science research tooling to real-time BCI systems.
Hackathon·2026
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HackPrinceton Spring 2026 · Knot API track, 1st Place
A mirror on your delivery habits. Pulls six months of real DoorDash / Uber Eats orders via Knot API, decomposes each dish into ingredients with K2 Think V2, generates a weekly home-cooked plan respecting calendar and dietary constraints, and pushes the exact ingredients to a real Amazon Fresh cart in one tap.
Next.js 15 + React 19 on Vercel; FastAPI on Cloud Run; MongoDB Atlas
Knot API in production mode: TransactionLink for delivery history, AgenticShopping for real Amazon Fresh cart push
K2 Think V2 for weekly plan reasoning; Gemma 4 31B for photo recognition and check-in classification
Photon spectrum-ts bridge for live iMessage orchestration during the demo
Bilingual (EN/KO) restaurant discovery built around two ideas: voice-first filtering on a 3D map, and an AI phone agent that calls restaurants for you. Speak a query, the map sinks non-matching food into the ground; pick questions (reservations, vegetarian, wheelchair access...), click "Call N selected," and watch real Twilio calls return ✓/✗/? per question.
Next.js 16 + React 19 + Tailwind 4 frontend; MapLibre GL + Three.js for the 3D scene
FastAPI on Cloud Run; Google Places API for restaurant data, dedup'd across 7 cuisine groups
Real-time neural activity visualization and BCI array placement guidance system. Processes live data from a 1024-channel micro-ECoG array (32×32 grid) to help neurosurgeons optimize BCI array placement during surgery. Hosted by Precision Neuroscience at Microsoft NERD Center.
CNN-based denoising (ResNet U-Net with CBAM attention)
Kalman filter and EMA-based position tracking
Real-time heatmap smoothing with configurable web UI
End-to-end MLOps pipeline as a 32-block, 42-edge parallel-converge DAG inside the Zerve canvas: schema/leakage validation → EDA + 15-stage funnel → a 5-candidate AutoML pool → drift detection → champion picked for serving → weekly retraining loop. A Next.js frontend renders the DAG and calls a deployed FastAPI for live inference, reading canvas variables in real time.
5-candidate model pool: calibrated XGBoost + RF + HGB soft-vote ensemble, PyTorch tab-MLP, sklearn GBM — isotonic calibration throughout
Social reading platform that transforms solitary reading into a connected experience. Readers highlight passages, discuss with friends, make story-branching choices (Detroit: Become Human style), and explore an AI-generated solar system visualizing reading compatibility.
Next.js 16, React 19, Three.js for 3D planet visualization
FastAPI backend with Firebase Firestore and ChromaDB
Google K2 Think V2 for AI content, Gemini 2.0 Flash for voice Q&A, Vertex AI Imagen for illustrations
Next.js 16React 19Three.jsFastAPIFirestoreChromaDBVertex AI
LLM Goal-Setting Chatbot · Top 12 LikeLion 2025 Hackathon
An LLM-based goal-setting and conversational AI system for daily reflection. Achieved Top 12 in LikeLion 2025 Hackathon. CHI 2026 Poster submission planned.
FastAPI backend, deployed on GCP Cloud Run with Docker
Conversational goal-setting and tracking flow tuned for daily check-ins
Full-stack MLOps pipeline for personalized recipe generation: LLM fine-tuning (Llama 3.2 3B with LoRA), DPO-based feedback loop for continuous model improvement, data pipeline with Great Expectations validation, Airflow orchestration, and observability with Slack alerts. Deployed finetuned LLM on GCP Cloud Run for scalable inference, with GCS + DVC for data and model versioning. Features dietary restriction enforcement, admin dashboard, and automated model registry.
Llama 3.2 3B fine-tuned with LoRA, then DPO loop for continuous model improvement
Airflow-orchestrated data pipeline with Great Expectations validation and Slack alerts
GCP Cloud Run deployment + GCS / DVC for data and model versioning
Admin dashboard, automated model registry, dietary restriction enforcement
Complete MLOps pipeline for MNIST digit recognition with automated model retraining based on user feedback. Features interactive drawing canvas, real-time predictions, and continuous model improvement workflow.
FastAPI inference service deployed via Vertex AI on GCP Cloud Run
GitHub Actions for CI/CD across train, evaluate, and deploy stages
React frontend with interactive drawing canvas and feedback capture
AI-powered web applications using LangChain — DocumentGPT (document Q&A with RAG over FAISS), QuizGPT (automatic quiz generation), and PrivateGPT (local LLM for private document analysis).
RAG pipeline with FAISS vector search and OpenAI GPT
Streamlit frontends with chat history and document upload
Local LLM variant for fully offline private document analysis
Full-stack job board platform with job search, company profiles, and real-time recommendations. Features MySQL database integration with SQLAlchemy ORM and EDA / ML analysis.
Flask backend with SQLAlchemy ORM over MySQL
Job search, company profiles, and recommendation surfaces