Gaurav Parmar
PhD Candidate
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolGaurav Parmar is a PhD candidate at Carnegie Mellon University specializing in image generation, GAN inversion, and image editing, with nine years of experience bridging research and applied engineering. He has interned twice at Adobe and held research and engineering roles at Qualcomm and UCSD labs, combining model compression for mobile with cutting-edge generative modeling. Mentored by Jun-Yan Zhu, Zhuowen Tu, and others, he blends strong academic rigor with practical system-level optimization. Based in Pittsburgh, he brings a rare mix of deep learning research pedigree and hands-on experience shipping efficient computer vision solutions across industry and academia.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of California, San Diego - Jacobs School of EngineeringDoctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Carnegie Mellon UniversityHigh school (IB), High school (IB) at Indus International School
Github Skills (45)
pytorch10
image-resizing10
generative-adversarial-network10
deep-learning10
image-generation10
computer-graphics10
image-manipulation10
quantization10
computer-vision10
generative-art10
calculation10
compression8
stable-diffusion8
depth-estimation7
machine-learning7
Programming languages (4)
Github contributions (5)
GaParmar/clean-fid
Apr 2021 - Dec 2022
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
Contributions:5 reviews, 219 commits, 10 PRs in 1 year 8 months
frechet-distanceimage-resizingstepsresizingimage-generation
GaParmar/gaurav_parmar
Oct 2018 - Apr 2021
personal website
Contributions:2 PRs, 37 pushes, 1 branch in 2 years 5 months
reactnextjstypescript
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