Felixย Kirsch
Founder at PodRadar
Bonn, North Rhine-Westphalia, Germany
Summary
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Top SchoolFelix Kirsch is a founder and full-stack AI engineer with 8 years of experience building production-ready NLP and data-centric ML systems from infrastructure to API. He led core engineering at Kern AIโshipping an open-source NLP tool (refinery) and hardening retrieval-augmented generation pipelines and CI/CD for productionโthen turned that expertise into PodRadar, a podcast search product that indexes transcripts for precise media monitoring. His background blends engineering for real-time computer vision and scientific software at DLR with product and go-to-market experience from startup incubators, giving him a rare mix of technical depth and market sense. Felix also contributes DevOps and backend improvements to open-source projects, focusing on deployment robustness and reproducible releases, and often surfaces engineering work that treats training data and deployments as first-class artifacts.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE Informatik, Bachelor of Engineering - BE Informatik at Baden-Wuerttemberg Cooperative State University (DHBW)Master of Science - MS Economics, Master of Science - MS Economics at The University of BonnMaster of Science - MS Economics, Master of Science - MS Economics at Toulouse School of Economics
Github Skills (17)
docker10
python10
batchfile10
dockers10
cicd10
script10
batch10
scripting9
data-science9
back-end-development9
machine-learning9
natural-language-processing9
devops9
automation9
automations9
Programming languages (7)
Github contributions (5)
code-kern-ai/refinery
Aug 2022 - Nov 2022
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Role in this project:
DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:8 releases, 8 reviews, 15 commits in 2 months
Contributions summary:Felix primarily focused on enhancing the deployment and update mechanisms of the refinery project. They implemented a new update logic, modified batch scripts for automated updates and container management, and integrated an "Alfred" startup helper. The contributions also involved changes to the backend, including version number updates and adjustments to the `setup.py` and `cli.py` files. Furthermore, the user was responsible for freezing version numbers in Docker Compose files.
pythontext-annotationtrainingdata-languagenatural-language-processing
code-kern-ai/refinery-embedder
Jul 2022 - Jan 2023
Embedder for refinery. Manages the creation of document- and token-level embeddings using the embedders library.
Contributions:2 releases, 6 reviews, 15 commits in 6 months
embeddersembeddingstokencreationrefinery
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