Gleb Tkachev

Gleb Tkachev

ML Scientist

Zalando

About me

I am a Machine Learning Scientist working on methods that solve practical problems. My current position is at Zalando, where I develop RecSys models and LLMs that help people find well-fitting clothes. Before that I was at Amazon Alexa, working on ranking for Question Answering. And prior to Amazon, in my PhD, I worked on ML for rendering and analysis of scientific data. I focused on self-supervised representation learning and developed interactive performance-optimized methods. Additionally, I have solid software development skills and familiarity with performance optimization and distributed systems.

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

Experience

 
 
 
 
 
Zalando
Senior Applied Scientist
Zalando
Mar 2023 – Present 2 y 2 m Berlin, Germany
Working on LLMs and recommendation models.
 
 
 
 
 
Amazon Alexa
Applied Scientist
Amazon Alexa
Oct 2022 – Mar 2023 5 m Berlin, Germany
Working on ranking models for Question Answering.
 
 
 
 
 
University of Stuttgart
PhD Researcher
Feb 2017 – Jun 2022 5 y 4 m Stuttgart, Germany
Researching Machine Learning approaches to visualization and analysis of scientific data.
 
 
 
 
 
Bett Ingenieure
Web Developer
Apr 2015 – Dec 2016 1 y 8 m Stuttgart, Germany
 
 
 
 
 
University of Stuttgart
Research Assistant
Feb 2015 – May 2015 3 m Stuttgart, Germany
 
 
 
 
 
AIGRIND
Game Developer
AIGRIND
Sep 2013 – Sep 2014 1 y Kaliningrad, Russia
 
 
 
 
 
Web Developer
INOK Group
Jul 2012 – Dec 2012 6 m Kaliningrad, Russia

Publications

(2022). Metaphorical Visualization: Mapping Data to Familiar Concepts. CHI 2022 Extended Abstracts (alt.CHI).

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(2021). Visual Analysis of Droplet Dynamics in Large-Scale Multiphase Spray Simulations. JVis.

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(2020). Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs. VMV2020.

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(2019). Local Prediction Models for Spatiotemporal Volume Visualization. TVCG.

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(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.

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(2017). Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition. EGPGV 2017.

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