Leo Dong
Palo Alto, California, United States
Summary
🤩
RockstarLeo Dong is a software engineer based in Palo Alto with nine years of experience blending research and production engineering, currently contributing at NVIDIA. He has shipped federated learning pipelines and heterogeneity optimizations (work begun at Meta) and delivered production-focused engineering at Applied Intuition for simulation and autonomy tooling. His research internships at Stanford advanced continual learning for coordinate networks and neural radiance fields, plus robust RL methods and information-estimation techniques. Trained with a BS (CS honors) and MS (EE) from Stanford, he pairs deep technical rigor with an uncommon humanities perspective—a classics minor—that informs his systems-thinking and curiosity.
9 years of coding experience
Github Skills (73)
throughput10
optimizer10
latency10
sdk10
tensorrt10
nvidia10
inference10
high-performance9
python9
gpu9
deep-learning9
gpu-acceleration9
low-latency9
machine-learning9
keras9
Programming languages (3)
Github contributions (5)
LeoZDong/netAE
Oct 2019 - Jun 2022
Contributions:1 release, 12 commits, 8 pushes in 2 years 8 months
LeoZDong/detr
Apr 2021 - Sep 2021
End-to-End Object Detection with Transformers
Contributions:2 PRs, 30 pushes, 1 branch in 5 months
pytorchtransformersend-to-enddeep-learningobject-detection
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.