Tomer Shor
Backend & Platform Team Lead
Tel-Aviv District, Israel
Summary
🤩
Rockstar🎓
Top SchoolTomer Shor is a Backend & Platform Team Lead with four years of engineering experience, currently leading platform efforts at Iguazio after progressing from backend engineer roles there. He brings a hardware-to-cloud perspective from prior firmware work at Intel and is finishing a B.Sc. in Electrical and Electronics Engineering at Tel Aviv University. Tomer contributes to open-source MLOps tooling—improving API authentication, function lifecycle handling, and documentation in the MLRun project—demonstrating practical experience shipping production ML platform features. Known as a self-learner and creative problem-solver, he focuses on reliable, secure backend systems that bridge developer workflows and scalable deployment.
4 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Tel Aviv University
Spanish, English, Hebrew
Stackoverflow
11reputation
38reached
1answer
0questions
Github Skills (15)
kubernetes10
api10
mlops10
apidoc10
python10
kubernetes-pods10
workflow-engine9
docker8
machine-learning8
experiment8
dockers8
data-engineering7
mlrun6
google-cloud-platform6
nuclio6
Programming languages (6)
Github contributions (5)
mlrun/mlrun
Aug 2022 - Jan 2023
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Role in this project:
MLOps Engineer
MLOps EngineerContributions:943 reviews, 19 commits, 350 PRs in 5 months
Contributions summary:Tomer's contributions primarily revolve around enhancing and extending the MLRun MLOps platform. They focused on improving API functionality, particularly related to session verification and authentication, making adjustments to how data is read and processed within the system. Additionally, the user implemented configurations and client specifications, adding CE mode functionality. Furthermore, they addressed bugs, such as labels initialization, and normalized function names. Finally, the user contributed to documentation improvements and adding the container image to the function status.
experiment-trackingpythondata-sciencecmlmachine-learning
TomerShor/nuclio
Nov 2021 - Mar 2025
High-Performance Serverless event and data processing platform
Contributions:30 PRs, 533 pushes, 529 branches in 3 years 4 months
stream-processingdata-processingserverlessperformanceevent-driven
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.