I'm a physics student at Stony Brook University who enjoys building ambitious projects across software, AI, robotics, and computational science.
I’m especially interested in projects where code interacts with the real world: competitive coding platforms, autonomous robots, signal processing, and experimental AI systems.
Making interview prep feel like a multiplayer game.
- Real-time 1v1 coding duels
- Open matches anyone can join
- Wagers, streaks, and competitive mechanics
- Built with FastAPI, AWS Lambda, DynamoDB, S3, React, and Next.js
Finding planets hidden inside noisy stellar data.
- Processes light curve data
- Detects periodic dips in brightness
- Uses signal processing to extract weak patterns from noise
- Combines physics, computation, and data analysis
An experimental system exploring structured reasoning and AI workflows.
- Built around modular reasoning pipelines
- Experiments with decision-making systems
- Focuses on combining computation, logic, and intelligent behavior
A Jetson-powered robot for indoor navigation and delivery.
- Real-time computer vision
- Human-following mode
- Obstacle avoidance and perception pipeline
- Moving toward autonomous hallway navigation
A chaotic but useful app for rating bodies of water.
- Interactive map
- Community submissions
- Fun rating system for beaches, lakes, rivers, and more
- Winner of Best Use of MongoDB
- Improving YeetCode matchmaking, onboarding, and retention
- Building a Jetson-powered autonomous delivery robot
- Exploring signal processing for astrophysics
- Experimenting with AI reasoning systems
I like building things that are a little too ambitious.
Things that:
- scale
- move
- compete
- or reveal something hidden