Evgenii Tsymbalov
Applied Scientist at International Olympiad in Artificial Intelligence (IOAI)
Aachen, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolEvgenii Tsymbalov is an applied scientist and ML researcher with a PhD in Computer Science and a decade of hands-on experience building production-grade models and pipelines across industry leaders like Amazon, Yandex, and Huawei. He combines deep research expertise—in uncertainty estimation, computer vision, NLP and multimodal learning—with practical deployment skills in Python, PyTorch/TensorFlow, Docker, Airflow-like pipelines and cloud services. Notable contributions include rolling out forced-alignment models for Alexa German and launching satellite-based precipitation and cloudiness forecasts for multiple continents. He also works on multimodal LLMs for speech and machine translation enhancements for 15+ language pairs, and helps shape the International Olympiad in Artificial Intelligence as a scientific committee member. Comfortable moving between research and engineering, he has a track record of turning novel academic ideas into reliable, production-ready systems.
10 years of coding experience
8 years of employment as a software developer
Major of CS, Major of CS at AESC MSUDoctor of Philosophy (PhD) Computer Science and Engineering, Doctor of Philosophy (PhD) Computer Science and Engineering at Skolkovo Institute of Science and TechnologyMaster of Science (MSc) Data Science, Master of Science (MSc) Data Science at Higher School of Economics
Russian, English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
frequency-domain7
uncertainty6
python-client5
heart-rate5
machine-learning4
time-management4
api4
active-learning4
python3
instagram3
instagram-api3
electrophysiology3
timer3
toolbox2
react2
Programming languages (3)
Github contributions (5)
kra5h/alpaca
Jun 2020 - Dec 2020
Library for active learning and uncertainty estimation in machine learning
Contributions:4 PRs, 5 pushes, 1 branch in 6 months
active-learningmachine-learningestimationuncertaintyuncertainty-estimation
kra5h/Si-bands-fitting
Feb 2017 - Feb 2017
Contributions:5 pushes, 1 branch in 18 days
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