Mike Shubov is an IT consultant and software engineer based in Munich with eight years of experience building web applications and AI-driven medical tools. Currently completing an MSc focused on Artificial Intelligence, he bridges research and production—having engineered temporal clustering algorithms with LLM embeddings and led large-scale OMOP CDM mappings for clinical datasets. As a co-founder he designed GANs for synthetic medical data, shipped a user-facing evaluation app, and helped secure €96k in grant funding and international accelerator interest. His background spans front-end and backend work at Siemens and startups, plus hands-on ETL and BigQuery experience, enabling him to deliver end-to-end data products. Colleagues describe him as someone who mixes product sensibility with rigorous engineering, often translating clinical problems into deployable ML systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Higher School of Economics
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Groningen
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Universität Passau
Constructed and trained a sklearn classifier to predict the number from the image input. The dataset used is MNIST dataset of images with two handwritten digits.
Contributions:3 commits, 1 push, 1 branch in 1 day
Contributions:2 commits, 15 pushes in 1 year 11 months
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