About
I'm a Data Scientist at ITSC GmbH, building AI solutions for the public health insurance sector. I'm passionate about integrating ML models into traditional workflows — supporting and enhancing the work people already do, not replacing it. My goal is to help people live longer, healthier lives by bringing data-driven insights into the processes that matter.
Before moving into industry, I spent five years as a researcher at Heinz Nixdorf Institute, where I earned my Ph.D. in theoretical computer science and published 13 peer-reviewed papers on distributed algorithms and robot coordination. That academic background gives me a strong foundation for breaking down complex problems and designing rigorous solutions — skills I apply daily when building scalable ML pipelines and RAG-based architectures.
Experience
Data Scientist
Sep 2023 — presentBuilding AI solutions for public healthcare — integrating ML models into traditional workflows in the health insurance sector.
Research Assistant
Jan 2018 — Jul 2023Heinz Nixdorf Institute, Paderborn University
Chair of Algorithms & Complexity. Research on distributed computing and mobile robot coordination. Published 13 peer-reviewed papers and presented at international conferences.
Student Research Assistant
Mar 2017 — Dec 2017Built a simulator for hybrid communication networks in C++ and conducted research on competitive routing in hybrid networks.
Student Teaching Assistant
Oct 2013 — Feb 2017Tutoring for Modellierung, Datenstrukturen und Algorithmen, and Grundlagen der Programmierung 1.
Latest from the Blog
MCP and Claude Code: Under the Hood
Claude Code is an MCP client. It launches servers, runs the handshake, gives the model external tools. The tool call flow, debugging workflow, and building your own server.
Projects
mcptools
mitmproxy for MCP — intercept, inspect, debug, and replay MCP server traffic. Works with Claude Desktop, Cursor, VS Code, and Windsurf.
claude-code-toolkit
Community-curated Claude Code plugins for developer workflows.
nw-migrate
CLI tool that automatically converts Pandas code to Narwhals, enabling backend-agnostic DataFrame workflows.
Tech Stack
ML & Deep Learning
Data Engineering
MLOps & Infrastructure
Visualization
Interests
Production ML
Building robust, scalable pipelines that take models from experimentation to production. Focused on reproducibility, monitoring, and continuous training workflows.
RAG Architectures
Exploring retrieval-augmented generation systems that combine the strengths of large language models with structured knowledge retrieval for more accurate, grounded outputs.
DataFrame Interop
Working with cross-backend dataframe abstractions like Narwhals to write portable, backend-agnostic data code.
Agentic Coding
Leveraging AI-powered coding agents to accelerate development workflows and explore new paradigms in software engineering.
Conference Talks
Presented research at international peer-reviewed conferences:
- OPODIS 2022 — Brussels, Belgium
- SPAA 2022 — Philadelphia, USA
- SSS 2021 — Virtual
- SPAA 2020 — Virtual
- SIROCCO 2020 — Virtual
- ICDCN 2020 — Kolkata, India
- ALGOSENSORS 2018 — Helsinki, Finland
- ALGOCLOUD 2018 — Helsinki, Finland
- SIROCCO 2017 — Porquerolles, France
Certifications
Education
Ph.D. (Dr. rer. nat.) in Theoretical Computer Science
2018 — 2023Dissertation: Local Protocols for Contracting and Expanding Robot Formation Problems
M.Sc. Computer Science
Oct 2015 — Oct 2017Semester Abroad
Jul 2016 — Dec 2016University of Oklahoma
B.Sc. Computer Science
Oct 2012 — Oct 2015Publications
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Theoretical Computer Science 939, 2023
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Unifying Gathering Protocols for Swarms of Mobile Robots
LNCS, Springer, 2023
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A Discrete and Continuous Study of the Max-Chain-Formation Problem
Information and Computation, 2022
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A Unifying Approach to Efficient (Near-)Gathering of Disoriented Robots with Limited Visibility
OPODIS 2022
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The K-Server with Preferences Problem
SPAA 2022
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The Max-Line-Formation Problem
SSS 2021
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Gathering Anonymous, Oblivious Robots on a Grid
Theoretical Computer Science 815, 2020
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The Online Multi-Commodity Facility Location Problem
SPAA 2020
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Local Gathering of Mobile Robots in Three Dimensions
SIROCCO 2020
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A Bounding Box Overlay for Competitive Routing in Hybrid Communication Networks
ICDCN 2020
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Competitive Routing in Hybrid Communication Networks
ALGOSENSORS 2018
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A Peer-to-Peer Based Cloud Storage Supporting Orthogonal Range Queries of Arbitrary Dimension
ALGOCLOUD 2018
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Monitoring of Domain-Related Problems in Distributed Data Streams
SIROCCO 2017
Contact
Interested in collaborating or just want to say hello? I'd love to hear from you.