Christian Kniep
AI Tinkerer at QNIB Solutions
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolChristian Kniep is an AI-focused infrastructure engineer with 14 years of experience specializing in containers, HPC, storage, and cluster management across research and cloud environments. Based in Berlin, he combines hands-on skills with Docker, Kubernetes, MinIO, and Python with a theoretical interest in routing, graph theory, and scalable monitoring design. He has driven developer advocacy and product integration for MemVerge’s AI memory layer and previously shaped HPC and batch offerings at AWS while promoting container adoption in industry and research. An active open-source contributor, he improved usability and maintainability of the mqttwarn MQTT router through refactoring and CLI enhancements—work that reflects his knack for pragmatic tooling improvements. Known for bridging operational reality and product strategy, he often translates complex HPC constraints into usable solutions for AI and bioinformatics workflows.
14 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at University of TübingenComputer Science - Data Analytics Track, Computer Science - Data Analytics Track at Technische Universität Berlin
German, English, French, Indonesian
Stackoverflow
71reputation
5kreached
4answers
1question
Github Skills (16)
configuration-management10
python10
mqttnet10
object-oriented-programming9
command-line-interface9
mqtt9
logging8
docopt8
elasticsearch6
nxlog6
neo4j6
logstash6
cypher6
mongodb6
redis6
Programming languages (22)
Github contributions (5)
mqtt-tools/mqttwarn
Jul 2014 - Jul 2014
A highly configurable MQTT message router, where the routing targets are notification plugins, primarily written in Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits in 1 day
Contributions summary:Christian primarily focused on enhancing the core functionality of the MQTT message router, mqttwarn. They integrated the docopt library for command-line argument parsing, improving the tool's usability. The user refactored the code to an object-oriented structure, indicating efforts towards improved maintainability and scalability. They also added features, like default config file, and loglevel option.
mqttpluggablewildcardsacquisitionmosquitto
ChristianKniep/docker-elk
Mar 2014 - Feb 2017
Contributions:97 commits, 7 PRs, 54 pushes in 2 years 10 months
dockerfileelklogstashdockerkibana
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