Summary
Leo Huang is an MS student at UC Berkeley bridging EECS and Bioengineering with eight years of hands-on experience across robotics, biotech, and full-stack software. He researches humanoid navigation and collaborative robot tasks while developing GraphQL backends and React frontends that serve 30k+ monthly users, and contributes to tiltrotor and robotic-arm learning systems. Leo has a track record of translating lab prototypes into deployable tools—from DNA origami placement and PDMS microfluidics to a low-cost BCI headset—and has helped train LLMs to write better code. Comfortable across hardware, machine learning, and cloud-native DevOps, he pairs rigorous research with production-focused engineering. Notably, he has led student teams and club initiatives that scaled member engagement and operational efficiency, revealing a knack for turning technical ideas into community impact.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Electrical Engineering and Computer Science, Master of Science - MS, Electrical Engineering and Computer Science at University of California, Berkeley
High School Diploma, 4.68, High School Diploma, 4.68 at Mountain View High School
Spanish, Chinese, English