VLA Data + Model Optimization
Stony Brook University: Simons Research Program
Optimized data collection pipelines and model efficiency on VLA models using 6DOF arms. Cut training times for certain tasks by 50%.
Stony Brook University: Simons Research Program
Optimized data collection pipelines and model efficiency on VLA models using 6DOF arms. Cut training times for certain tasks by 50%.
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.
MAD-learn: Programming Internship
Designed and built 23 instructional JavaScript projects from scratch, deployed to thousands of students across 31 states.
USC Viterbi School of Engineering: Summer Research
Researched linguistic classification using LLM and RNN architectures, testing how continual learning affects model accuracy over time.