Maximilián Zivák is a data scientist with nine years of practical experience, currently focused on NLP models and time series forecasting at MicroStep - HDO in Bratislava. He transitioned from a Python developer role into his current data science position within the same company, bringing strong production coding practices to model development and deployment. Trained in Data Science at Univerzita Komenského, he pairs technical rigor with a background in philosophy and a passion for game development, which informs creative problem framing and experimental design. Comfortable across the ML lifecycle, he emphasizes reproducible pipelines and pragmatic solutions for real-world temporal and language data. Colleagues would describe him as a hands-on engineer who bridges research curiosity with deliverable software.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at Univerzita Komenského v Bratislave
An interface to easily manage your tf2-automatic V2 / V3 bot
Contributions:1 release, 3 PRs, 84 pushes in 2 months
discordbottf2-automatictf2
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