I'm a CS student, mostly focused on AI/ML and computer vision right now. I like building stuff that actually does something - not just notebooks that end at a confusion matrix. Lately I've been getting into LLMs and RAG, and trying to get better at deploying things on AWS instead of just running them locally.
Open to ML/AI engineer roles, computer vision work, and applied ML internships.
- Languages: Python, Java, C++, JavaScript
- ML/CV: TensorFlow, scikit-learn, OpenCV, YOLO, Pandas, NumPy
- Web/Backend: React, Flask, Node.js
- Databases: MySQL, MongoDB, SQLite
- Tools: Git, VS Code, Jupyter
Literature Intelligence Platform - a RAG-based assistant that lets you search and ask questions over research papers instead of reading them cover to cover.
NeuraBin - a smart waste bin that sorts trash automatically using YOLO for detection plus some sensor logic to control the actual sorting.
Suicide Risk Prediction Model - trained an XGBoost model on 100k+ health records to flag early risk indicators.
BakeMyDay - a Java + MySQL desktop app for a bakery to manage inventory and orders.
Code/demos are linked from my portfolio.
LLMs, LangChain, Advanced RAG, AWS, Docker
Feel free to reach out if you want to talk AI/ML, research, or just connect.