Anton Kiselev is a Senior Machine Learning Engineer in Berlin with eight years of experience building production ML systems, currently focusing on neural search and scalable ML pipelines at Zalando. He combines applied research in query understanding and intent with hands-on engineering—shipping forecasting, recommender, and NLP solutions using Kubeflow, SageMaker, CatBoost, and PyTorch. His background spans end-to-end delivery from prototype to deployment across retail, healthcare, and finance, and he maintains experience with model explainability (SHAP) and on-device inference. Trained at Yandex School of Data Analysis and Innopolis University, Anton blends strong mathematical foundations with practical MLOps expertise, often bridging data science and platform engineering to move models into reliable production.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Mathematics. Applied Mathematics., Bachelor's degree Mathematics. Applied Mathematics. at Ural State University named after A.M.Gorky
Master's degree Data Sсience, Master's degree Data Sсience at Innopolis University
Computer Science, Computer Science at Yandex School of Data Analysis
Presentations and Jupyter notebooks from various meetups and workshops.
Contributions:16 commits, 12 PRs, 8 pushes in 26 days
pythonjupyter-notebooknotebookjupyterlabnotebooks
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Anton Kiselev - Senior Machine Learning Engineer at Zalando