About Me
I am an Electrical and Computer Engineering student at Rice University (Class of 2028).
My interests include hardware design, machine learning, and robotics. I have experience developing machine learning algorithms and robotics systems for research and engineering applications.
This summer, I am a Robotics Institute Summer Scholar (RISS) at Carnegie Mellon University, working in the AirLab on learned navigation for autonomous drones.
Latest News
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Jun 2026
Accepted as an ICCP Fellow for 2026.
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May 2026
Accepted to Y Combinator Summer School.
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Feb 2026
Our paper on noise pretraining for implicit neural representations was accepted to CVPR 2026!
Publications
FPGL: Meta-Learned INRs for Medical Image Segmentation
Medical Image Analysis · In SubmissionA meta-learned implicit neural representation framework for medical image segmentation, with Kushal Vyas, Ashok Veeraraghavan, and Guha Balakrishnan.
Noise Pretraining for Implicit Neural Representations
CVPR 2026 · AcceptedPretraining INRs with structured noise yields dramatic signal-fitting improvements. Noise with 1/|fα| spectral structure matches the best data-driven initialization methods.
Engineered Underwater Vehicle for Ocean Litter Mapping
NM J. Science 2024Autonomous underwater vehicle using YOLOv5 and SLAM to map subsurface debris, identifying 174,000+ pieces across field deployments.
Control Algorithm for Thrust Vector Controlled Rockets
NM J. Science 2022PID-based control algorithm and 6-DOF flight simulation for model rockets with thrust vector control.
Selected Projects
Ember
Differentiable 6-DOF rocket simulation that trains a neural TVC flight controller through the physics.
Alpine
A PyTorch library for rapidly prototyping implicit neural representations.
StudyBeats
A real-time productivity platform with focus tools and Lo-Fi streaming, serving 1200+ users.
OceanAI
An autonomous underwater vehicle that mapped 174,000+ pieces of ocean litter with deep learning and SLAM.