I’m a Data Science (spec. Biology & AI/ML) student at UC San Diego (GPA 3.9) with experience in building data-driven applications, full-stack systems, and machine learning pipelines. If you're hiring or want to talk soccer (football), lets connect.
- Wildfire Risk Detection Web App – Built and deployed a full-stack app (Flask, HTML/CSS, Render) integrating weather + geolocation data. Trained a CNN (MobileNetV2) to classify wildfire imagery with ~90% accuracy.
- Air Quality ETL Pipeline – Automated pollutant data collection and processing (Python, SQLite), cutting latency from days to hours. Designed Streamlit dashboards to visualize wildfire risks.
- RAG Pipeline for Q&A – Implemented document retrieval + question answering (Ollama LLM, Chroma DB) with semantic search and scalable chunk management.
- Real-Time Sports AI – Prototyped goal predictor using PyAudio feature extraction + scikit-learn classification. Achieved 65% accuracy with sub-5s latency.
- Languages: Java, Python, SQL, HTML
- Tools: Flask, Streamlit, GitHub, Canva, iMovie, Google Suite, Slack/Zoom