Tatsiana Mazouka
Machine Learning Engineer at One Thousand
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolTatsiana Mazouka is a Berlin-based Machine Learning Engineer with nine years of hands-on experience building and deploying AI systems across industry and research. She has delivered production ML solutions ranging from an agentic address-change automation and review summarization at CHECK24 to federated image classification research at Fraunhofer HHI that improved performance on heterogeneous clients by over 30%. Comfortable across the ML lifecycle, she combines research rigor (privacy evaluation for diffusion models, change point detection studies) with production engineering using Python, Airflow and cloud platforms. Her background spans data engineering, recommender systems, and software development, giving her a pragmatic edge when moving models from prototype to reliable pipelines. She holds advanced AI studies from Ulm and Genova and often bridges academic insights with product-focused implementations. An under-the-radar strength is her repeated record of improving model and system accuracy through careful preprocessing and metric-driven evaluation.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Ulm UniversityMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Università degli Studi di GenovaStiftung Wissen+Kompetenzen scholarship, Stiftung Wissen+Kompetenzen scholarship at Stiftung Wissen+KompetenzenBachelor of Science - BS Computer Science Media & Communication, Bachelor of Science - BS Computer Science Media & Communication at Karlsruhe University of Applied Sciences
Russian, English, German, Russian
Github Skills (6)
machine-learning4
classification4
deep-learning3
time-series3
neural-network3
pyspark1
Programming languages (3)
Github contributions (5)
ProjectTimeSeriesClassificationUniUlm/EnsembleBasedTSC
Nov 2022 - Feb 2023
Project based on the paper 'Deep Neural Network Ensembles for Time Series Classification' (2019)
Contributions:35 commits, 28 pushes, 3 comments in 3 months
classificationneural-networktime-seriestime-series-classificationdeep-learning
Tmozovka/Python_algorithms
Jul 2019 - Jul 2025
Contributions:6 pushes, 1 branch in 6 years 1 month
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