Alexander Kolesnikov
AI Research Scientist at Meta
Switzerland
Summary
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Rockstar🎓
Top SchoolAlexander Kolesnikov is an AI research scientist with seven years of industry experience and a PhD in Machine Learning and Computer Vision from IST Austria, currently based in Switzerland. He has held research roles at Google Brain/DeepMind, OpenAI, and Meta, contributing to state-of-the-art vision models and large-scale evaluation pipelines. His open-source work includes integrating major image datasets into tensorflow/datasets and adding/finetuning Vision Transformer and MLP-Mixer configurations in Google Research's big_vision, reflecting deep expertise in practical model development and dataset engineering. Comfortable bridging research and production, he excels at adapting complex models for real-world evaluation and dataset interoperability. A less obvious strength is his consistent focus on reproducible datasets and pretrained model integration, which accelerates downstream research and deployment.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning and Computer Vision, Doctor of Philosophy - PhD, Machine Learning and Computer Vision at Institute of Science and Technology AustriaLomonosov Moscow State University
Github Skills (16)
data-model10
datasets10
machine-learning10
tensorflow10
jax10
python10
image-classification10
user-data10
data-set10
computer-vision9
flax9
eval8
numpy8
modeling8
evaluation8
Programming languages (2)
Github contributions (5)
google-research/big_vision
Apr 2022 - Dec 2022
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Role in this project:
ML Engineer
ML EngineerContributions:22 reviews, 16 commits, 28 PRs in 8 months
Contributions summary:Alexander contributed to the implementation and improvement of machine learning models within the big_vision repository. Their work involved updating model configurations, adding and integrating pretrained Vision Transformer (ViT) models, and modifying evaluation components. Furthermore, the user worked on integrating the MLP-Mixer model, demonstrating proficiency in model development and integration.
pytorchlitmlpvision-transformervision
tensorflow/datasets
Mar 2019 - Aug 2022
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:ML Engineer
ML EngineerContributions:10 commits in 3 years 5 months
Contributions summary:Alexander primarily contributed to the `tensorflow/datasets` repository by adding and updating datasets related to image classification. They added the Oxford-IIIT Pet dataset, which involved creating new dataset files and modifying existing ones. Further contributions included adding the CLEVR and DMLab datasets, demonstrating expertise in integrating diverse image-based datasets into the TensorFlow ecosystem. Moreover, the user worked on adding Imagenet real dataset and its test file.
datanumpydeep-learningdatasetmachine-learning
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