Edwin Weill
Manager, Solutions Architecture And Data Science - Cloud
California, United States
Summary
👤
Senior🎓
Top SchoolEdwin Weill is a cloud-native solutions architect and data scientist with a decade of experience helping hyperscale customers deploy ML, deep learning, and accelerated computing from edge robotics to multi-node GPU clusters. As Manager of Solutions Architecture and Data Science at NVIDIA, he translates research-grade models into production-ready HPC and cloud deployments while guiding developer and customer workflows. He holds an advanced background in computer engineering (MS/PhD track) and a long history of hands-on deep learning work, including multi-camera vehicle tracking and intelligent video analytics. Known for bridging academia and industry, he mentors students and engineers and has repeatedly moved prototype algorithms onto distributed GPU infrastructure. Based in California, he combines technical leadership with practical expertise in performance optimization across the full AI stack.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Computer Engineering, Bachelor of Science (B.S.), Computer Engineering at Clemson University
Github Skills (41)
convolutional-neural-networks10
jetson10
python10
machine-learning10
image-recognition10
jetson-xavier10
deep-learning10
tensorflow10
neural-network10
data-science9
deploying9
robotics9
caffe9
nvidia-jetson9
ml9
Programming languages (4)
Github contributions (5)
eweill/keras-deepcv
Oct 2017 - Nov 2022
Contributions:36 commits, 35 pushes, 1 branch in 5 years 2 months
CUFCTL/DLBD
Feb 2017 - Apr 2018
Contributions:35 commits, 37 pushes, 1 branch in 1 year 2 months
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.