Tobias Wochinger
Product Engineer at Langfuse
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top School
Top expert inNatural Language Processing and Machine Learning Technologies
Tobias Wochinger is a product-focused engineer with 11 years of experience building and scaling backend systems for AI and conversational platforms from Munich. He combines hands-on implementation (notably contributions to Rasa and Haystack) with team and product leadership—having led a 9-person cross-functional team at deepset and driven product improvements that more than doubled new user activation. Tobias has a strong track record in observability, deployment and cost-optimisation (e.g., KEDA scale-to-zero, OpenTelemetry/Datadog tracing integrations) and in shipping reliable ML infra like Rasa’s computational backend and public sharing features. He is comfortable moving between hands-on coding (Docker images, CLI/API refactors, type annotations) and strategic work such as hiring, ADRs and product experiments. Now seeking a remote-friendly, product-led environment, he brings both the operational rigor to run production AI systems and the product sensibility to turn them into user-facing value. An understated strength: he frequently improves developer experience and observability, turning recurring friction into scalable solutions.
11 years of coding experience
8 years of employment as a software developer
Master, Angewandte Informatik, Master, Angewandte Informatik at Hochschule für Technik und Wirtschaft BerlinBachelor, Wirtschaftsinformatik, Bachelor, Wirtschaftsinformatik at Hochschule München University of Applied Sciences
Stackoverflow
1,890reputation
95kreached
111answers
5questions
Github Skills (42)
docker10
conversation10
ras10
tracer10
apidoc10
python10
machine-learning10
dockers10
mlops10
api10
sdk10
rasa10
datadog10
opentelemetry10
logging10
Programming languages (12)
Github contributions (5)
RasaHQ/rasa
Oct 2018 - Sep 2022
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 2405 reviews, 3143 commits in 3 years 11 months
Contributions summary:Tobias's contributions center around enhancing the functionality and maintainability of the Rasa framework's NLU component. The user added the capability to correctly handle the scenario of a sequence of session starts, implemented several fixes to core action classes, and refactored the codebase to handle the new functionality of `RulePolicy`. These changes directly impact the user's ability to create better conversation flows. The user also appears to be involved in maintaining code quality.
nlupythonbotspeech-recognitionbotkit
RasaHQ/rasa-sdk
Oct 2018 - Mar 2022
SDK for the development of custom actions for Rasa
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 release, 125 reviews, 164 commits in 3 years 5 months
Contributions summary:Tobias primarily contributed to the development of the Rasa SDK, focusing on enhancing the action server's capabilities. They added Docker image support for easier deployment and implemented various fixes, including those related to PEP8 style. Furthermore, the user worked on refactoring the codebase for integration with the Rasa CLI, making functions accessible via API and CLI interfaces. They also updated the changelog, fixed deprecated function calls, and made other improvements for API and CLI accessibility.
custom-actionspythonrasasdk
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