Marc Klingen is a CEO and co-founder with nine years of experience building developer-first AI infrastructure from Berlin, currently leading Langfuse—a YC-backed open-source LLM engineering platform now part of ClickHouse. He combines product instincts from consumer and enterprise roles with hands-on backend engineering, contributing core API, telemetry cron jobs, and pagination/filtering features to the Langfuse repo. Marc’s work sits at the intersection of observability, prompt management and model evaluation, helping engineering teams turn LLM outputs into actionable analytics. He holds advanced studies from TUM and CDTM and brings a rare mix of startup operator, investor-facing experience, and deep technical contribution to open-source LLM tooling.
9 years of coding experience
1 year of employment as a software developer
Semester Abroad, Semester Abroad at Tongji University
Semester Abroad, Semester Abroad at University of Michigan - Stephen M. Ross School of Business
Bachelor of Science - BS International Business Administration and Management, Bachelor of Science - BS International Business Administration and Management at WHU – Otto Beisheim School of Management
Master of Science - MS Management & Technology (Computer Science and Innovation), Master of Science - MS Management & Technology (Computer Science and Innovation) at Technical University of Munich
Honours Degree Technology Management, Honours Degree Technology Management at Center for Digital Technology and Management (CDTM)
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Role in this project:
Back-end Developer
Contributions:161 releases, 390 reviews, 1882 PRs in 1 year 10 months
Contributions summary:Marc made contributions focused on developing and enhancing the back-end infrastructure of the Langfuse project. They implemented features to filter and paginate generations. They addressed code quality issues through prettier fixes and made improvements to the cron jobs for telemetry, demonstrating skills in API development, database interactions, and potentially task scheduling. Moreover, the user contributed to improvements in the API and backend functionality by integrating the changes in the models of the API response.
🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps
Contributions:88 reviews, 803 PRs, 3311 pushes in 1 year 10 months
genailangfuselarge-language-modelsllmsnextra
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