Data Science undergraduate at the University of Michigan with a passion for machine learning, natural language processing, and creative AI applications. Author of "Tracing Online Hate Long-Term: Using Machine Learning to Connect Twitter Usage Per Year to Its Hate Speech"
🎯 Current Focus: Advancing NLP techniques, end-to-end recommendation systems, and applying computer vision to real-time monitoring challenges.
Repository • Python & Jupyter Notebook • 50.6% / 49.4%
End-to-end content-based music recommender system powered by IMSLP metadata. Scraped over 200,000 pieces from IMSLP using BS4. Features intelligent filtering by instrumentation, era, and key signature.
Tech Stack: Streamlit, Python, NLP, LLM Integration
Key Achievements: 700+ curated classical pieces • AI-powered musical descriptions • Interactive Streamlit frontend
Repository • Python (100%)
Comprehensive ML/NLP pipeline for automated text classification using multiple feature engineering approaches on Twitter dataset. Implements TF-IDF, N-grams, sentiment analysis, and dependency parsing for robust offensive language detection.
Tech Stack: scikit-learn, NLTK, Stanford CoreNLP, Feature Engineering
Key Achievements: Multi-feature comparative analysis • Production-ready customizable pipeline • Real-time classification capability
Repository • Python (98.2%) + C/C++
Real-time computer vision system for detecting driver distraction using Raspberry Pi and MediaPipe Face Mesh. Analyzes head pose, eye gaze, and facial orientation to generate intelligent alerts.
Tech Stack: MediaPipe, Computer Vision, Raspberry Pi, Real-time Processing
Key Achievements: Multi-layer alert system • Head pose & gaze estimation • Real-time hardware integration
Repository • Python (100%)
Parsing Google Docs resumes against job descriptions to determine if a resume would be a good fit for a job
Tech Stack: Python, Google Docs API, Email Automation
- MHacks 2025 — Full-stack JavaScript + Python application
- SpartaHacks 11 — Award-winning computer vision project
- JacHacks 26 — Featuring a network of agentic AI with RAG-powered detection
| Machine Learning | NLP & Text | Computer Vision | Data Engineering |
|---|---|---|---|
| Classification | Feature Engineering | Real-time Detection | Data Pipeline |
| Comparative Analysis | Sentiment Analysis | MediaPipe | ETL Processes |
| Model Evaluation | Dependency Parsing | Head Pose Estimation | Data Cleaning |
| Feature Engineering | TF-IDF / N-grams | Gaze Estimation | Jupyter Notebooks |
| Metric | Value |
|---|---|
| Public Repositories | 6 |
| Primary Language | Python |
| Project Focus | ML/AI, NLP, Computer Vision |
| Years of Experience | 2 |
| Education | University of Michigan, Data Science |
| Hackathons Participated | 3+ |
- 🏫 University of Michigan — Data Science Undergraduate
- 🧠 Specializations: Machine Learning, Natural Language Processing, Computer Vision
- 💡 Philosophy: Rigorous ML fundamentals + creative problem-solving = innovation
✨ End-to-End Systems Builder — From data pipeline to production-ready applications
🔬 Research-Minded Approach — Comparative analysis & model evaluation expertise
🚀 Hackathon Veteran — Multiple award-winning competitive projects
🎯 Full-Stack Capabilities — Python backend, React frontend, real-time systems
🤝 Collaborative Coder — Contributing to meaningful projects with real-world impact
I'm always interested in:
- ML/AI collaborations on meaningful projects
- Hackathon participation and competitive programming
- Mentoring aspiring data scientists
- Consulting on NLP and computer vision challenges
Last Updated: May 6, 2026 •