Klim Kolyvanov

PhD Candidate

Berlin, Germany
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Summary

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Klim Kolyvanov is a PhD candidate and seasoned data scientist with a decade of experience applying machine learning, computer vision and backend engineering to scientific and blockchain domains. Based in Berlin, he developed scalable deep-learning pipelines for 3D+time microscopy (including sub-pixel object detection and parallelised Java tooling) while also contributing backend SQL, CI and smart-contract tooling to high-profile crypto projects like Yearn and Dune Analytics. His background blends strong numerical foundations (top grades in applied math and simulation sciences) with hands-on systems work—from FEniCS finite-element automation to Solidity linting and CI improvements—demonstrating an unusual cross-over between academic image-analysis research and production-grade data engineering. He’s comfortable shipping end-to-end solutions, localizing UIs, and optimizing developer workflows, and often surfaces pragmatic engineering fixes that improve reproducibility and maintainability across projects.
code10 years of coding experience
bookVienna University of Technology
bookMaster’s Degree, Simulation Sciences, Master’s Degree, Simulation Sciences at RWTH Aachen University
bookBachelor's Degree, Applied Mathematics and Informatics, 4.97 / 5.0, Bachelor's Degree, Applied Mathematics and Informatics, 4.97 / 5.0 at Tomsk Polytechnic University
languagesGerman, English, Russian
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Github Skills (23)

github-ci10
javascript10
solidity10
postgresql10
rails-i18n10
cicd10
data-transformation10
localization10
ember-i18n10
sql10
database-design10
ethereum10
i18n-js10
smart-contracts10
githubaction-workflow10

Programming languages (16)

JavaCSSRustPLpgSQLVueGoHTMLJupyter Notebook

Github contributions (5)

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yearn/yearn-protocol

Sep 2020 - Jan 2021

Yearn smart contracts
Role in this project:
userBackend Engineer & DevOps Engineer
Contributions:24 reviews, 12 commits, 40 PRs in 4 months
Contributions summary:Klim contributed to the development of the Yearn smart contracts project by adding support for ethlint, a tool for linting Solidity code. They enhanced the continuous integration (CI) pipeline by integrating commit linting, caching, and formatting checks, improving the project's code quality and development workflow. Additionally, the user updated the project's dependencies, including the Solidity compiler version, and refactored interface names and removing duplicate interfaces, contributing to code maintainability.
yearnethereumblockchainsoliditysmart-contracts
duneanalytics/spellbook

Apr 2020 - Nov 2021

SQL views for Dune
Role in this project:
userBack-end Developer & Database Engineer
Contributions:86 reviews, 33 commits, 139 PRs in 1 year 7 months
Contributions summary:Klim primarily contributed to the creation and modification of SQL views for the Dune Analytics platform, specifically focusing on the Erasure protocol and Bancor network. Their work involved writing SQL queries to extract and transform data from various smart contract events, and adding new tokens to the tokens and stablecoins tables. They also worked on incorporating code from different versions and sources, including the addition of new data.
sqldatabasemysqldune
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Klim Kolyvanov - PhD Candidate