Gleb Tkachev

ML Scientist

Zalando

About me

I am an ML/AI Scientist working on methods that solve practical problems. My current position is with JetBrains Research where I focus on SWE agents. My prior experience was at Zalando and Amazon, working on RecSys, LLMs and ranking. And in my PhD, I worked on ML for rendering and analysis of scientific data.

Featured Skills

Machine Learning
- LLMs & NLP
- Recommender Systems
- Self-Supervised Learning
Software Development
- Python (Pytorch, Pyspark, Numpy)
- C++ (Pybind, CUDA)
- Performance optimization

Education

PhD Computer Science, 2022

University of Stuttgart
M.Sc. Computer Science, 2017

University of Stuttgart
B.Sc. Automatic Systems, 2014

Kaliningrad Technical

Featured Publications

S4: Self-Supervised learning of Spatiotemporal Similarity

Gleb Tkachev, Steffen Frey, Thomas Ertl

August, 2021 TVCG

S4: Self-Supervised learning of Spatiotemporal Similarity

Metaphorical Visualization: Mapping Data to Familiar Concepts

Gleb Tkachev, Rene Cutura, Michael Sedlmair, Steffen Frey, Thomas Ertl

April, 2022 CHI 2022 Extended Abstracts (alt.CHI)

Metaphorical Visualization: Mapping Data to Familiar Concepts

See all publications

Experience

Senior Applied Scientist

JetBrains

Jan 2026 – Present Berlin, Germany

Working on SWE agents across Applied Division teams.

Senior Applied Scientist

Zalando

Mar 2023 – Jan 2026 2 y 10 m Berlin, Germany

Working on LLMs and recommendation models.

Applied Scientist

Amazon Alexa

Oct 2022 – Mar 2023 5 m Berlin, Germany

Working on ranking models for Question Answering.

PhD Researcher

University of Stuttgart

Feb 2017 – Jun 2022 5 y 4 m Stuttgart, Germany

Researching Machine Learning approaches to visualization and analysis of scientific data.

Web Developer

Bett Ingenieure

Apr 2015 – Dec 2016 1 y 8 m Stuttgart, Germany

Research Assistant

University of Stuttgart

Feb 2015 – May 2015 3 m Stuttgart, Germany

Game Developer

AIGRIND

Sep 2013 – Sep 2014 1 y Kaliningrad, Russia

Web Developer

INOK Group

Jul 2012 – Dec 2012 6 m Kaliningrad, Russia

Publications

Gleb Tkachev, Rene Cutura, Michael Sedlmair, Steffen Frey, Thomas Ertl (2022). Metaphorical Visualization: Mapping Data to Familiar Concepts. CHI 2022 Extended Abstracts (alt.CHI).

PDF Cite Video DOI Talk Appendix

Hamid Gadirov, Gleb Tkachev, Thomas Ertl, Steffen Frey (2021). Evaluation and Selection of Autoencoders for Expressive Dimensionality Reduction of Spatial Ensembles. ISVC 2021.

PDF Cite DOI Appendix

Moritz Heinemann, Steffen Frey, Gleb Tkachev, Alexander Straub, Filip Sadlo, Thomas Ertl (2021). Visual Analysis of Droplet Dynamics in Large-Scale Multiphase Spray Simulations. JVis.

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Gleb Tkachev, Steffen Frey, Thomas Ertl (2021). S4: Self-Supervised learning of Spatiotemporal Similarity. TVCG.

PDF Cite Code Video DOI Appendix Talk

Shivam Agarwal, Gleb Tkachev, Michel Wermelinger, Fabian Beck (2020). Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs. VMV2020.

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Gleb Tkachev, Steffen Frey, Thomas Ertl (2019). Local Prediction Models for Spatiotemporal Volume Visualization. TVCG.

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Ilyass Tabiai, Gleb Tkachev, Patrick Diehl, Steffen Frey, Thomas Ertl, Daniel Therriault, Martin Lévesque (2019). Hybrid Image Processing Approach for Autonomous Crack Area Detection and Tracking Using Local Digital Image Correlation Results Applied to Single-Fiber Interfacial Debonding. Engineering Fracture Mechanics.

PDF Cite Code Dataset DOI

Gleb Tkachev, Steffen Frey, Christop Müller, Valentin Bruder, Thomas Ertl (2017). Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition. EGPGV 2017.

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