Keval Doshi
Applied Scientist at Ring
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKeval Doshi is an applied scientist with 9 years of experience specializing in vision-language models and AI research, currently driving applied ML at Ring after recent roles at Prime Video & Amazon Studios. He holds a PhD in Artificial Intelligence and blends deep research—spanning deep reinforcement learning, anomaly detection, and video analytics—with practical production experience in media and security domains. Keval’s background includes academic teaching and research at the University of South Florida and industry stints at Nokia Bell Labs and Alstom, giving him a strong foundation in signal processing and real-world ML deployment. Known for translating cutting-edge research into scalable products, he brings a rare mix of theoretical rigor and hands-on engineering across video and multimodal AI.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of South FloridaBachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering at SVIT, Vasad Official
Hindi, English
Github Skills (9)
nvidia6
video-understanding5
computer-vision5
deep-learning4
reinforcement-learning4
pytorch3
autoencoder2
seed2
tensorflow1
Programming languages (3)
Github contributions (5)
kevaldoshi17/NVIDIA_AICITY
May 2020 - Mar 2021
Repository for NVIDIA AICITY Challenge
Contributions:22 commits, 5 PRs, 25 pushes in 10 months
deep-learningreinforcement-learningcomputer-visionnvidia
kevaldoshi17/DDoSAttackDetection
Dec 2018 - Sep 2019
Contributions:18 commits, 17 pushes, 1 branch in 9 months
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