Maximilian Werk
Principal Software Engineer at Elastic
Berlin Metropolitan Area Germany
Summary
🤩
Rockstar🎓
Top SchoolMaximilian Werk is a Principal Software Engineer based in the Berlin area with 11 years of experience building production-grade AI and cloud-native systems. He progressed from research engineering at Zalando to senior and leadership roles at Jina AI, where he drove engineering efforts around multimodal search, ranking, and fine-tuning infrastructure before joining Elastic. A hands-on backend and ML engineer, he has contributed to prominent open-source projects in the Jina ecosystem—adding ranking drivers, training logging, model persistence, and practical demo apps—bridging research prototypes and robust developer tooling. Trained in mathematics at TU Berlin, he combines rigorous analytical thinking with pragmatic system design and a knack for improving observability and evaluation workflows that often go overlooked in ML stacks.
11 years of coding experience
11 years of employment as a software developer
master Mathematics, master Mathematics at Technische Universität Berlin
Github Skills (32)
application-framework10
pytorch10
docker10
back-end-development10
python10
evaluation10
testing10
app-framework10
machine-learning10
dockers10
keras10
deep-learning10
fine-tuning10
paddlepaddle10
jina10
Programming languages (6)
Github contributions (5)
jina-ai/examples
May 2020 - Feb 2021
Jina examples and demos to help you get started
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:46 reviews, 44 commits, 52 PRs in 9 months
Contributions summary:Maximilian contributed to multiple examples and applications within the Jina AI ecosystem. They implemented and modified code for several examples, including an Urban Dictionary search client and a Southpark search application. Their work involved refactoring code, fixing bugs, integrating new features, and adjusting various examples to work with different versions of Jina AI, demonstrating experience with the framework and its applications.
nlppythononboardingget-starteddeep-learning
jina-ai/serve
Sep 2020 - Oct 2021
☁️ Build multimodal AI applications with cloud-native stack
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:497 reviews, 121 commits, 143 PRs in 1 year 1 month
Contributions summary:Maximilian made significant contributions to the `jina-ai/serve` repository, focusing on feature enhancements related to document ranking and the integration of machine learning models. They added a `Matches2DocRankDriver` and implemented the associated test cases, which involved modifying files related to ranking executors and testing frameworks. The user’s work included refining the scoring mechanism and improving the overall logic of the ranking process within the context of a multimodal AI application framework.
opentelemetryllm-inferencecreative-aigrpcproduction
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