Data Science student at San Jose State University (Fall 2026). Focused on machine learning, NLP, and AI engineering.
NLP-powered tool that analyzes resume-job description fit using TF-IDF keyword matching and LLM-based semantic analysis via Claude API. Features a smart skill taxonomy, AI bullet point rewriter, and interactive dashboard with match scores and skill gap visualizations.
Two-league roster and trade tool for the NFL and NBA, built on live data. Browse rosters and stats, compare players across any season or full career with interactive charts, and run cap-legal NFL trades of players and draft picks, each scored by real OverTheCap salary-cap rules and a front-office opinion generated via Claude API.
Python, SQL, Java, C, C++
LLMs, NLP, RAG Pipelines, Vector Embeddings, LangChain, ChromaDB, Scikit-learn, TensorFlow, Claude API, OpenAI API, Hugging Face, spaCy
Pandas, NumPy, Plotly, Matplotlib, PostgreSQL, BigQuery, TF-IDF, Feature Engineering
Git, Docker, FastAPI, Streamlit, Gradio, AWS, GCP, REST APIs, PyMuPDF
Built and deployed machine learning pipelines in Python to ingest and transform large-scale datasets, engineering features and applying anomaly detection models to power production analytics. Developed AI-driven tooling and automated model workflows that surfaced real-time performance signals, and designed reproducible model training, evaluation, and deployment workflows with standardized documentation.
Diagnosed and resolved hardware, software, and network issues for 20+ customers weekly. Implemented security measures and optimized device configurations across Windows, macOS, and mobile platforms.