About
Studying Computer Science, Applied Mathematics & Statistics, and Cognitive Science at Johns Hopkins University.
Passionate about machine learning, robotics, and computer vision — exploring how algorithms can perceive, reason, and interact with the world.
Languages
Interests
Projects
Python · ROS2 · SLAM
Autonomous navigation stack for the JHU Mars Rover Team's URC competition entry. Integrates a visual SLAM pipeline (ZED SDK + ROS2), stereo depth estimation, and an Unscented Kalman Filter fusing GPS, IMU, encoder, and camera data for robust localization.
Python · RL · PDE Systems
Reinforcement learning for closed-loop control of multi-physics fluid systems at Lawrence Berkeley National Lab. Frames the problem as a POMDP and applies actor-critic methods on top of a spatio-temporal Fourier transformer, benchmarked via HydroGym and Firedrake on HPC.
Python · Django · PostgreSQL
Full-stack course scheduling platform serving 6,000+ students across multiple universities. Built an automated prerequisite checker with PDF transcript parsing, integrated institutional course catalog APIs, and lead site reliability coordinating with university IT for 99.9% uptime.
Python · NLP · Interpretability
Probing study comparing reasoning faithfulness between Coconut's latent-space continuous thought vectors and standard verbal chain-of-thought on ProntoQA. Trains step-level linear probes to test whether intermediate logical conclusions are faithfully encoded at each reasoning step.
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