Markus Hinsche
Co-Founder at Data Science Retreat
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolMarkus Hinsche is a Berlin-based co-founder and CTO with 10 years of experience building AI-driven products across medical, education, and environmental sectors. He currently leads Thea Care / Nailvision, combining computer vision and telemedicine to fast-track nail and skin diagnostics with AI-assisted treatment and personalized medication delivery. Markus pairs hands-on engineering—DevOps, ML, and CI/CD—with strategic product leadership, having shaved model training and data pipelines from weeks to days in production settings. He's an active contributor to prominent open-source ML projects like Rasa and Keras, adding scalable monitoring (Datadog GPU integrations) and robust data-adapter fixes that improve training reliability. As an educator at Data Science Retreat and former interim CTO/freelancer, he mentors teams and teaches deep learning for computer vision, translating research into deployable systems. His background from Hasso Plattner Institute and industry experience across healthcare startups and NGOs reflects a rare mix of technical depth, regulatory maturity, and mission-driven impact.
10 years of coding experience
11 years of employment as a software developer
Master's Degree IT-Systems Engineering, Master's Degree IT-Systems Engineering at Hasso Plattner InstituteThePowerMBA, ThePowerMBA at thePowerUniversity of California Santa Cruz
English, German, Spanish, French
Stackoverflow
1,412reputation
154kreached
18answers
3questions
python
top-5%
Github Skills (32)
github-ci10
python10
scripting10
machine-learning10
cicd10
keras10
automation10
script10
deep-learning10
tensorflow10
datadog10
sh10
automations10
shell10
githubaction-workflow10
Programming languages (6)
Github contributions (5)
RasaHQ/rasa
Nov 2021 - Mar 2022
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
DevOps & ML Engineer
DevOps & ML EngineerContributions:30 reviews, 43 commits, 140 PRs in 4 months
Contributions summary:Markus contributed to the automation and monitoring of the Rasa machine learning framework. They implemented Datadog integration for performance metrics, including runtime and model performance. Their work also involved setting up a Datadog agent with NVML integration for GPU monitoring and parallelized regression test jobs for efficient CI/CD. Additionally, the user demonstrated expertise in shell scripting for configuring the Datadog agent and managing the CI/CD workflow.
machine-learningnluslackvoice-assistantnlp
keras-team/keras
Mar 2022 - May 2022
Deep Learning for humans
Role in this project:ML Engineer
ML EngineerContributions:1 review, 11 commits, 5 comments in 1 month
Contributions summary:Markus's commits focused on enhancing the data adapter functionality within the Keras framework. They added and refined unit tests to ensure the correct handling of steps when using sequences with increasing batch sizes. The user's changes involved modifying the data adapter to correctly infer and update steps per epoch, which is crucial for training machine learning models effectively. Further improvements included code cleanup and organization of the unit tests.
deep-learningtensorflowneural-networksmachine-learningdata-science
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