Hrishikesh Garud
Research 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.
10 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 UniversityBachelor of Engineering (B.E.) Electronics, Robotics, Artificial Intelligence, Embedded Systems., Bachelor of Engineering (B.E.) Electronics, Robotics, Artificial Intelligence, Embedded Systems. at Savitribai Phule Pune University
English, Hindi, Marathi
Stackoverflow
1reputation
149reached
0answers
1question
Github Skills (5)
super-resolution7
google-maps6
flutter6
posenet4
pytorch1
Programming languages (2)
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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