Florian Hönicke
Principal AI Engineer at Elastic
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolFlorian Hönicke is a Principal AI Engineer based in Berlin with a decade of experience building production-grade machine learning and cloud-native systems. He has been a core contributor and early engineering leader at Jina AI—helping shape its deep-learning search framework and contributing to the popular jina-ai/serve project—and now brings that expertise to Elastic. His background spans founding an AI startup for facial matching, hands-on ML roles at SoundCloud and Deloitte, and data engineering work that delivered real-time bidding, fraud detection, and ETL platforms. Florian blends backend, DevOps, and testing rigor (including flow and error-handling improvements in open-source projects) with applied research in computer vision and anomaly detection. He is comfortable spanning the stack from prototype models to scalable orchestration, and often focuses on making complex AI systems reliably deployable in production.
10 years of coding experience
6 years of employment as a software developer
Diplom Informatik, Computer Science, Diplom Informatik, Computer Science at Humboldt University of Berlin
English, German
Github Skills (8)
python10
dockers9
docker9
fastapi8
kubernetes8
kubernetes-pods8
mlops6
machine-learning6
Programming languages (10)
Github contributions (5)
jina-ai/serve
Nov 2020 - Jan 2023
☁️ Build multimodal AI applications with cloud-native stack
Role in this project:
Backend Developer & DevOps Engineer
Backend Developer & DevOps EngineerContributions:473 reviews, 250 commits, 151 PRs in 2 years 2 months
Contributions summary:Florian contributed to the Jina AI serve repository by addressing documentation issues, including missing parameters in code examples. They also made changes to the codebase related to flow management and error handling within search functions. The user demonstrated their involvement with the project's testing infrastructure, by modifying testing scripts and configurations. Furthermore, the user's work included updates to key-value indexers and document set methods.
opentelemetryllm-inferencecreative-aigrpcproduction
jina-ai/now
Mar 2022 - Jan 2023
🧞 No-code tool for creating a neural search solution in minutes
Contributions:367 reviews, 1240 commits, 524 PRs in 10 months
crosswordpythondeploymentno-codeclip
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