Doron Kopit
Senior Staff ML Engineer at ServiceNow
Naan, Center District, Israel
Summary
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Rockstar🎓
Top SchoolDoron Kopit is a Senior Staff ML Engineer with four years of professional experience building production ML and backend systems, currently at ServiceNow after co-founding Traceloop. He brings hands-on expertise in observability and MLOps, having contributed to the open-source traceloop/openllmetry project to add LLM-specific spans, context propagation for OpenAI, and robust SDK improvements. Previously he delivered scalable software at Fiverr and launched early-stage engineering work at Traceloop, blending product-focused development with infrastructure reliability. Trained in Computer Science and Electrical Engineering at Tel Aviv University, he pairs solid academic foundations with practical startup experience. Colleagues describe him as an engineer who surfaces subtle runtime issues—like async generator wrapping and exception recording in workflows—and turns them into durable platform features. Based in Naan, Israel, he combines a pragmatic systems mindset with a knack for improving developer observability around LLM applications.
4 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Electrical Engineering, Bachelor of Science - BS, Computer Science and Electrical Engineering at Tel Aviv UniversityHigh School, High School at Brenner High School
Github Skills (21)
observability10
python10
llm10
sdk10
opentelemetry10
async9
asynchronous9
monitoring9
performance-monitoring9
generative-ai9
process-monitoring9
mlops9
data-monitoring9
openai9
uptime-monitoring9
Programming languages (5)
Github contributions (5)
traceloop/openllmetry
Aug 2024 - Mar 2025
Open-source observability for your LLM application, based on OpenTelemetry
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:15 reviews, 19 PRs, 36 pushes in 7 months
Contributions summary:Doron contributed to the observability features of the LLM application by adding attributes to spans related to LLM requests and implementing context propagation for OpenAI. They also focused on improving the SDK, adding client functionality, annotations, and addressing package name detection issues. Furthermore, the user addressed exception recording within workflows and corrected async generator wrapping in the SDK.
artifical-intelligencedatasciencegenerative-aigood-first-issuegood-first-issues
doronkopit5/opentelemetry-js
Mar 2022 - Mar 2022
OpenTelemetry JavaScript Client
Contributions:5 pushes, 1 branch in 3 days
javascript-clientjavascriptotelopentelemetry-javascriptopen-telemetry
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