Ohad Katz
Systems Development Engineer II at Amazon Web Services (AWS)
Birmingham, Alabama, United States
Summary
🤩
Rockstar🎓
Top SchoolOhad Katz is a Systems Development Engineer II at AWS with 9 years of experience building reliable, production-grade infrastructure for cloud and ML workloads. He has strong SRE and DevOps roots from roles at Centene and Thumbtack, and contributes to high-impact open-source projects like AWS Deep Learning Containers, where he maintained Docker build pipelines and ensured PyTorch/TensorFlow compatibility for CPU/GPU images. Based in Birmingham, Alabama, he blends hands-on automation, performance testing, and security-aware packaging to streamline model training and inference on SageMaker. Known for pragmatic problem-solving, he focuses on making complex ML infrastructure reproducible and resilient in real-world environments.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University at Buffalo
Hebrew, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
pytorch10
docker10
tensorflow10
aws10
python10
containerization10
dockers10
build-automation10
cicd10
sagemaker9
conda9
Programming languages (2)
Github contributions (5)
aws/deep-learning-containers
Sep 2022 - Jan 2023
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
Role in this project:
DevOps Engineer & ML Engineer
DevOps Engineer & ML EngineerContributions:181 reviews, 40 commits, 166 PRs in 4 months
Contributions summary:Ohad primarily focused on updating and maintaining the build processes and infrastructure for AWS Deep Learning Containers. Their contributions included modifications to Dockerfiles for CPU and GPU builds, particularly for PyTorch and TensorFlow versions. They made changes to Conda environments, package installations, and release processes, ensuring compatibility and addressing vulnerabilities. The user also worked on integrating and testing Sagemaker components and configurations related to the training and inference of models within the containers.
pytorchsagemakercontainersmxnetserving
ohadkatz/deep-learning-containers
Dec 2022 - Apr 2024
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Contributions:3 PRs, 426 pushes, 54 branches in 1 year 4 months
containerspytorchmxnetservingcaffe2
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.