Hi! I'm currently in Carnegie Mellon's MRSD program, where I've gone from someone who worked in classical robotics to someone who now "teaches" robots how to do things. This past summer, I interned at Bosch Center for AI, where I looked into failure modes in VLAs and hallucination in world models.
My work sits at the intersection of research and deployment, which allows me to reason through the "why" behind a system's behavior while staying grounded in what it actually takes to build and ship one. The result is creative and well-reasoned solutions.
Outside of robots, I read, travel, watch pretty much any movie, and love geeking out over how humans think.
The Catalyst (Capstone Project)
Imitation & Reinforcement Learning for Robotic Control & Locomotion
Tested various learning algorithms on MuJoCo control tasks.
RESEARCH AND PROJECTS
We're building a mobile manipulator to automate labor-intensive tasks in lab environments.
It's built from parts available through our project sponsors and the MRSD inventory, which made it a genuinely constrained design problem. This project mainly taught me systems engineering and how to work effectively in a team, along with a lot about the practical issues that come up during deployment.
On the technical side, I worked on the autonomous navigation stack. We used a 3D LiDAR with FAST-LIO for SLAM and localization, and the Nav2 planner for high-level path planning.
This semester, I am going to be working on adding some learning-based functionalities to the manipulation system.
For more details on the project click here.
