Hrishikesh Garud
Computer Vision And Machine Learning Engineer at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolHrishikesh Garud is a Computer Vision and Machine Learning Engineer with nine years of experience building hardware-aware deep learning solutions, currently designing performant models and influencing hardware-software co-design at Google. He brings a blend of industry research and product work from Samsung Research and applied academic projects at NCSU, where he developed large-scale semantic segmentation pipelines for CDC-funded walkability studies. His expertise spans neural architecture search, diffusion models, model pruning, and image quality improvement for consumer devices, with hands-on background in embedded systems and robotics dating back to early R&D and 3D-printing projects. Based in San Francisco, he’s a technological nomad comfortable moving between low-level system constraints and cutting-edge CV research, often optimizing models specifically for target hardware and toolchains.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at North Carolina State UniversitySavitribai Phule Pune University
English, Hindi, Marathi
Stackoverflow
1reputation
149reached
0answers
1question
Github Skills (2)
google-maps6
flutter6
Programming languages (1)
Github contributions (5)
hgarud/Human-Pose-Prediction-GAN
Sep 2018 - Mar 2019
Contributions:61 commits, 22 pushes, 1 branch in 6 months
hgarud/Sidewalks_Project
Jul 2018 - Sep 2018
Contributions:11 commits, 2 pushes, 1 branch in 1 month
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