Kenil Shah is a Software Engineer III with eight years of experience building production ML-driven systems, currently on the engineering team at Snap after progressive roles there since 2021. He holds a Master's in Computer Science from NC State and a B.E. in Electronics and Communication, and brings applied research chops from published computer vision work (WACV, AVSS) and internships at Samsung Research America and academic labs. Kenil blends research and product engineering, shipping features at scale while staying hands-on with deep learning and computer vision pipelines. Based in Bellevue, he is equally comfortable prototyping novel ML models and hardening them for real-world use, a skill reflected in his steady progression from intern to senior engineering roles.
8 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at North Carolina State University
B.E Electronics and communication, B.E Electronics and communication at L.D. College of Engineering
Determining whether a given video is Real or Fake by cropping the face of a person and classifying the cropped image by ensembling ResNext and EfficientNetB6
Contributions:1 PR, 7 pushes, 1 branch in 5 months
personresnextcomputer-visionensemblingvideo
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