Roman Solomatin

NLP Researcher at SberDevices

Russia
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Summary

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Rockstar
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Top School
Roman Solomatin is an NLP researcher and ML engineer with six years of experience building applied language and vision models across industry and academia in Russia. He has held research roles at DeepPavlov.ai and SberDevices and delivered production-focused NLP solutions at X5 Group and the Higher School of Economics. His projects include large-scale ethics analysis of company reviews—training and comparing BERT-based classifiers on a 10M+ offer dataset with end-to-end parsers, APIs and CI via GitHub Actions—and a Qt/MediaPipe gesture-control app tying gesture embeddings to custom key bindings. Comfortable spanning data collection, model fine-tuning, evaluation and deployment, he blends research rigor with practical engineering to move prototypes into reliable systems. An under-the-radar strength is his hands-on experience building parser test suites and automated pipelines that keep messy web-scraped data tractable for model training.
code7 years of coding experience
job1 year of employment as a software developer
bookBachelor's degree, Software engineer, Bachelor's degree, Software engineer at Higher School of Economics
bookMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at ITMO University
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Github Skills (195)

similarity-search10
transformers10
multilabel-classification10
benchmark10
language-model10
neural-search10
sentence10
python10
ui-components10
text-to-speech10
gradio-interface10
semantic-search10
datasets10
vim10
resolver10

Programming languages (14)

C#C++RustTeXGoHTMLJupyter NotebookTypeScript

Github contributions (5)

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embeddings-benchmark/results

Jul 2024 - Jul 2026

Data for the MTEB leaderboard
Contributions:200 reviews, 100 PRs, 152 pushes in 2 years
benchmarkbenchmarkresultsclusteringinformation-retrievalretrieval
deeppavlov/dialogmteb

Mar 2025 - May 2026

DialogMTEB: Dialog Massive Text Embedding Benchmark
Contributions:1 review, 8 PRs, 36 pushes in 1 year 2 months
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