Summary
Varshanth Rao is a Senior AI Researcher with 9 years of experience bridging software engineering and deep learning, currently leading computer vision research at ModiFace (L'Oreal). He specializes in real-time facial landmark detection, hair and skin segmentation, and robust face-part detectors, translating research into deployed models used in Microsoft Teams and L'Oreal tools. Previously at Huawei Noah’s Ark Lab he advanced video understanding and multi-modal architectures, porting state-of-the-art methods into production and serving on the patent review board. His Master's from the University of Waterloo focused on affective computing and accessibility, informing practical solutions that consider bias and edge-case robustness (e.g., gender bias mitigation and severe class imbalance in gray-hair segmentation). Known for combining graph neural nets, custom loss functions and self-supervised MAE approaches, he mentors MSc interns and converts novel ideas into patents and publications. Based in Toronto, he brings a rare blend of low-level production engineering (Cisco) and cutting-edge CV research that consistently moves prototypes to real-world deployment.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Sri Jayachamarajendra College of Engineering
AISSCE PCMC, AISSCE PCMC at Kendriya Vidyalaya, Mysore
AISSE, AISSE at St. Joseph's Central School, Mysore
Master of Mathematics Computer Science, Master of Mathematics Computer Science at University of Waterloo
English, Kannada, Tamil, Tulu