Haoran You
Research Scientist at Adobe
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHaoran You is a research scientist focused on algorithm-hardware co-design to make large ML models practically efficient across edge and cloud environments. With a PhD from Georgia Tech and nine years of experience spanning Adobe, Meta Reality Labs, and Baidu Research, he bridges academic rigor and product impact—most recently shipping efficient generative models for Photoshop that cut serving cost by one-third. His work targets the scaling gap of LLMs and LVMs by co-optimizing model architectures and deployment stacks, enabling production-grade GenAI features. An incoming assistant professor at Purdue, he combines hands-on systems engineering with research that informs real-world inference constraints. Based in Seattle, he has a background in electrical and computer engineering that helps him translate hardware-aware ideas into deployable models.
9 years of coding experience
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Georgia Institute of TechnologyMaster of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Rice UniversityBachelor's degree Electrical Information and Communication Engineering, Bachelor's degree Electrical Information and Communication Engineering at Huazhong University of Science and Technology
Github Skills (48)
hugo-theme10
convolutional-neural-networks10
model-compression10
imagenet9
hugo9
geometric-deep-learning9
pytorch9
mlp9
wordpress9
graph9
deep-learning9
graph-neural-network9
graph-convolutional-networks9
efficientnet8
vision-transformer8
Programming languages (3)
Github contributions (5)
GATECH-EIC/GCoD
Nov 2020 - Mar 2022
Contributions:35 commits, 9 pushes in 1 year 4 months
GATECH-EIC/ShiftAddNet
Oct 2020 - Nov 2020
[NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
Contributions:24 commits, 1 PR, 1 push in 1 month
pytorchneurips-2020deep-learningneuripshardware
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.