Gal Kleinman
Director Of Machine Learning Engineering at ServiceNow
Tel Aviv-Yafo, Tel Aviv District, Israel
Summary
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Rockstar🎓
Top SchoolGal Kleinman is a seasoned engineering leader and founder with eight years in software and machine learning infrastructure, now serving as Director of Machine Learning Engineering at ServiceNow after co-founding and CTOing YC-backed Traceloop. He combines hands-on backend and DevOps expertise with product and platform leadership from senior roles at Fiverr and deep technical roots dating back to Check Point and military intelligence. Gal focuses on observability and production-ready ML systems—contributing to open-source OpenTelemetry tooling for LLMs and migrating projects to Nx workspaces to improve developer experience and build reliability. Known for turning research-grade ideas into scalable platforms, he blends entrepreneurial resilience with rigorous engineering discipline and a background in computer science and economics from Tel Aviv University.
8 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BSc), Computer Science & Economics, Bachelor of Science (BSc), Computer Science & Economics at Tel Aviv UniversityComputer Science, Computer Science at The Hebrew Reali SchoolISTQB Certified Tester, Foundation Level, ISTQB Certified Tester, Foundation Level at Sella College
English, Hebrew
Stackoverflow
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0reached
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Github Skills (17)
nxos10
observability10
python10
instrumentation10
llm10
opentelemetry10
ml9
aiml9
devops9
ai9
generative-ai9
uptime-monitoring8
data-monitoring8
process-monitoring8
llmops8
Programming languages (9)
Github contributions (5)
traceloop/openllmetry
Sep 2023 - Mar 2025
Open-source observability for your LLM application, based on OpenTelemetry
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:15 releases, 82 reviews, 165 PRs in 1 year 6 months
Contributions summary:Gal's contributions primarily focus on migrating the project to an Nx workspace, indicating a focus on improving project structure and build processes. Their work involves modifying core files related to OpenTelemetry semantic conventions for LLMs. The commits also included the addition of instrumentation and sample app boilerplate, suggesting an emphasis on observability and ease of use. These changes demonstrate a combination of backend development and DevOps practices.
artifical-intelligencedatasciencegenerative-aigood-first-issuegood-first-issues
nirga/lens_influencer
Mar 2022 - Mar 2022
Contributions:14 PRs, 23 pushes, 11 branches in 7 days
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