I am a mechanical engineering student at Olin College of Engineering focused on turning ideas into tested systems. My work spans flight hardware, robotics, embedded systems, and software that makes physical systems easier to design, analyze, and operate.
I have worked on mechanical design and integration at NASA Goddard Space Flight Center and MIT Lincoln Laboratory, and I lead design work for the Solar Surfer CubeSat project at Olin.
- Aerospace hardware: mechanical design, mechanisms, seals, optics integration, fabrication, and test
- Autonomy and robotics: simulation, reinforcement learning, controls, and sensor-driven systems
- Engineering software: Python, C++, MATLAB, embedded systems, and tools that connect analysis to hardware
- Building with teams: taking projects from an early concept through integration, iteration, and a working demo
| Project | What it demonstrates |
|---|---|
| DroneGym | Grand-prize-winning hackathon project: a 250 Hz rigid-body drone simulator with PPO training and counter-UAS-style intercept scenarios. |
| CYVL-Hack | LiDAR-to-DXF/OBJ pipeline using ground classification, contour extraction, and Autodesk Platform Services visualization. |
| PiedPoker | Python library for poker probability simulation and analysis using optimized Monte Carlo methods. |
| Delayed Propagation | Next.js project built for the ASI Hackathon, demonstrating rapid full-stack prototyping. |
| Corgi | An ambient iMessage group-planning agent with context extraction, plan synthesis, and feedback loops. |
- MIT Lincoln Laboratory — Mechanical Design Intern, Advanced Sensors and Techniques
- NASA Goddard Space Flight Center — Mechanical Design Intern, Mechanical Systems and Metamaterials
- Solar Surfer CubeSat — Design Lead and Olin leadership point
- Olin College of Engineering — B.S. Mechanical Engineering, expected 2028
Programming: Python · C++ · MATLAB · TypeScript
Mechanical design: Autodesk Fusion · Inventor · SolidWorks · ANSYS · PTC Mathcad
Fabrication and integration: 3D printing · machining · laser/plasma cutting · soldering · TIG welding
Systems: Raspberry Pi · ESP32 · Arduino · Git · Linux
How AI-native software workflows can help mechanical engineers move faster without losing rigor: better simulation, clearer interfaces between hardware and software, and more reliable iteration from model to tested system.
If you are building in aerospace, robotics, defense, or engineering software, I would be glad to connect.