I’m a product-minded Data Scientist & AI Systems Engineer with a passion for building technology that bridges user needs, data-driven insights, and societal impact. Currently completing my B.S. in Informatics (Data Science concentration) at UMass Amherst (2021–2025) and enrolled in the M.S. in Data Analytics and Computational Social Science (DACSS) starting Fall 2026.
My work spans full-stack development, machine learning, AI integration, and hardware systems, with projects ranging from large-scale political finance analysis to interactive AI-powered learning platforms. Whether it’s designing a low-latency, therapy-focused AI chatbot or crafting a data visualization tool for music lovers, I focus on solutions that are technically rigorous, user-centered, and socially meaningful.
Building AI systems that support human well-being and decision-making
Exploring dexterous manipulation & embodied AI in research contexts
Advancing my skills in data analytics, visualization, and LLM-powered applications
Applying interdisciplinary methods from computational social science to real-world challenges
Languages: Python, R, SQL, Java, JavaScript, TypeScript, HTML/CSS, C++, MATLAB Data Science: Pandas, NumPy, Matplotlib, Seaborn, PandasAI, Scikit-learn Web Development: React, Node.js, Express.js, D3.js, OAuth 2.0 AI/ML: OpenAI GPT-3.5, Groq APIs, Neural Networks, Classification Models Databases: PostgreSQL, MongoDB, Supabase, Memgraph Visualization: Tableau, D3.js, Matplotlib Hardware/IoT: Raspberry Pi, Google AIY Voice Kit Cloud & DevOps: AWS, Docker, Apache Hadoop Other Tools: STT/TTS, Ollama, LaTeX, Microsoft Office 365, Excel
Spotify Compare – Interactive music data visualization app using D3.js & Spotify API
US Political Campaign Finance Analysis – 10M+ records analyzed; interactive Tableau dashboards
Chatter-AI – GPT-powered adaptive language learning platform (React/TypeScript)
The Income Project – ML classification of census income with 83% accuracy
Therapy-Focused AI Chatbot – Voice-interactive, memory-enabled AI on Raspberry Pi
Treasurer, UMass Amherst Data Science Club — Managed $1k+ budget, secured grants, organized workshops & industry talks
Service Director, BXO Fraternity — Led mental health awareness initiatives & volunteer programs
Active in SASA, Ultimate Frisbee, VEX Robotics, Big Brothers Big Sisters
Technology is most powerful when it serves people. I aim to continue working in the tech sector while advancing human progress—designing AI and data systems that benefit and uplift society, break down barriers to access, and create meaningful impact across diverse communities.
