Summary
Yug Rao is a PhD candidate and NSF Graduate Research Fellow in Computer Engineering at UIUC with a decade of experience spanning embedded systems, biophotonics imaging, and machine learning. He holds a BS with honors from Purdue, where he developed firmware for wireless implantable devices and built a hardware-accelerated CNN as a course project lead. Yug has interned twice at Google designing anomaly detection pipelines used across products and contributed to neuroscience and bioinformatics research at MIT, HHMI, and Purdue. Equally comfortable in hardware and software, he combines rigorous academic research with product-minded engineering—an example being his end-to-end work on implantable device systems and production-ready anomaly frameworks. He is based in Urbana, Illinois, and brings a track record of translating complex biological and sensor data problems into deployable systems.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree with Honors, Computer Engineering, Bachelor's degree with Honors, Computer Engineering at Purdue University
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of Illinois Urbana-Champaign
High School Diploma, High School Diploma at Maggie L. Walker Governor's School
English, Gujarati, Hindi, Spanish