MS Computer Science student at Northeastern University (Khoury College), based in Boston. I work across full-stack development, AI, and data — and I'm currently a Graduate Research Assistant at D'Amore-McKim School of Business where I work on data analysis and ML-driven research.
I'm available for co-op/internship roles from May – December 2026.
Languages & Frameworks Python · JavaScript · TypeScript · React.js · Node.js · Express.js · Swift · R · Java · HTML/CSS
Databases MongoDB · PostgreSQL · MySQL · Firebase · SQL
Tools & Skills Git · Power BI · Tableau · Figma · OpenAI · Machine Learning · Data Visualization · A/B Testing · Agile
- 🎮 Adversarial Maze Navigation — multi-agent AI system in Python with 9 algorithms (Minimax, Alpha-Beta, LRTA*, A* and more), dynamic environments, and a custom benchmarking framework
- 📊 Beyond Blood Sugar — analyzed 737K CDC BRFSS respondents across 2014 and 2022 to track how America's diabetes risk landscape shifted; used logistic regression, GMM clustering, Random Forest, and SHAP in R
- 📚 Kambaz — full-stack Canvas replica built with React, TypeScript, Node.js, Express, and MongoDB
- 📱 Pathly — iOS learning app in SwiftUI with Firebase, featuring real-time instructor and student dashboards
- 🔬 ResearchAssist — RAG-powered document Q&A tool; upload PDFs and ask questions using a local LLM, ChromaDB vector search, and Ollama with no API keys required