YOLO Optimization for Raspberry Pi
UC Irvine: Embedded Systems & AI Research
Optimized YOLO object-detection models to run efficiently on Raspberry Pi hardware. Placed 2nd at OCSEF and earned a CSEF nomination.
Projects
VLA Model Optimiztion
Stony Brook University: Simons Research Program
Evaluated vision-language-action models (GR00T, SmolVLA, BB-ACT) on mechanical engineering tasks to identify each model's optimal use case.
JavaScript Curriculum
MAD-learn: Programming Internship
Designed and built 23 instructional JavaScript projects from scratch, deployed to thousands of students across 31 states.
Linguistic Classification with LLMs & RNNs
USC Viterbi School of Engineering: Summer Research
Researched linguistic classification using LLM and RNN architectures, testing how continual learning affects model accuracy over time.
Skills
Autonomous Robotics
Machine Learning
Engineering
Python
C++
Java
PyTorch
TensorFlow
Agentic AI