Vadim Borisov

Tübingen, Baden-Württemberg, Germany
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Summary

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Senior
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Top School
Vadim Borisov is a PhD-trained machine learning researcher and entrepreneur with nine years of experience building and deploying generative AI and synthetic data solutions. As co-founder of tabularis.ai he leads work on LLM pretraining, fine-tuning, SFT, DPO and GRPO, bridging research rigour with product-focused engineering. He has deep academic roots from the University of Tübingen—spanning interpretable ML, deep learning for tabular data and postdoc work on microbiome applications—plus practical industry experience training LLMs and contributing to EU-funded projects. Now serving on the UAB at MINERVA, he combines governance and technical stewardship in scalable AI research and deployment. Notably, his background crosses hardware-aware modelling and EDA from earlier roles, giving him an uncommon perspective on applying ML across both software and systems.
code9 years of coding experience
job3 years of employment as a software developer
bookMaster of Science (M.Sc.), Microsystems, Master of Science (M.Sc.), Microsystems at HSB Hochschule Bremen – City University of Applied Sciences
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Tübingen
bookMaster's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Voronezh State Technical University
languagesRussian, English, German
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Github Skills (200)

gbm10
language-model10
handlers10
data-manipulation10
tabular10
cpp10
big-data10
genetic10
gradient-boosting10
lightgbm10
neural-network10
nlp10
kaggle10
data-science10
jupyterlab-extension10

Programming languages (11)

TypeScriptRC++CSSCoffeeScriptCScalaJavaScript

Github contributions (5)

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Contributions:19 commits, 17 pushes, 1 branch in 2 years
kathrinse/be_great

Oct 2022 - Dec 2022

A novel approach for synthesizing tabular data using pretrained large language models
Contributions:3 reviews, 21 commits, 5 PRs in 2 months
tabulartransformerslarge-language-modelsdeep-learningapproach
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Vadim Borisov