CS grad student at Northeastern University focused on software engineering and machine learning. I build tools that solve real problems.
I'm a software engineer who thrives on understanding how things work under the hood. Whether it's debugging a tricky stack implementation or designing a full-stack application, I care about writing code that's clean, efficient, and actually solves problems.
Right now I'm pursuing my MS in Computer Science at Northeastern, where I'm deepening my knowledge in data structures, algorithms, and object-oriented design. Previously, I earned my BS in Information Systems from San Francisco State University.
When I'm not coding, I'm probably at the gym (which inspired one of my projects), exploring new tech, or prepping for my next hackathon.
AI-powered crisis response platform built in a 2-day hackathon that matches food distribution needs with qualified organizations during emergencies. Features an AI match engine, triage mode, crisis forecasting, and an interactive dashboard with real food insecurity data.
Real-time occupancy tracker for Northeastern's gym. Scrapes live data, stores historical trends, and displays optimal workout times through a clean dashboard.
I'm currently looking for software engineering and ML internship opportunities. If you have a question or just want to say hi — reach out.