Nik Shevchenko
Staff Software Engineer at MEDvidi
Zagreb Metropolitan Area Croatia
Summary
🤩
Rockstar🎓
Top SchoolNik Shevchenko is a Staff Software Engineer with over a decade of experience building scalable cloud-native systems across B2B, SaaS, CPaaS, ML/AI and healthcare domains. He has driven large migrations from monoliths to microservices, raised platform availability to 99.999%, and implemented observability and analytics pipelines using OpenTelemetry, Grafana, Prometheus and GoodData. Currently he leads development of an AI omnichannel assistant in healthcare, leveraging agentic flows and LLM infrastructure such as LangChain, LangGraph, Google Gemini and AWS Bedrock. A hands-on full‑stack engineer, he contributed front-end test coverage and stability fixes to the popular open-source Label Studio project, demonstrating attention to quality in production and tooling. Based in Zagreb, he combines deep technical execution with cross-team coordination and a knack for turning research-grade AI components into reliable product features.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science and Economics (CSEC), Master's degree, Computer Science and Economics (CSEC) at Saint Petersburg State University of Engineering and Economics
English, Croatian, French, Russian
Github Skills (8)
unit-testing10
javascript10
react9
annotations9
annotator9
css8
data-labeling8
image-annotation8
Programming languages (4)
Github contributions (5)
HumanSignal/label-studio
Aug 2019 - Jan 2020
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Role in this project:
Front-end Developer
Front-end DeveloperContributions:12 releases, 41 commits, 94 PRs in 6 months
Contributions summary:Nik primarily contributed to unit tests and bug fixes, enhancing the reliability of the `label-studio` project. Their work included creating and updating various unit tests for utilities, colors, date functions, and other components, which helped to improve code coverage and ensure stability. Additionally, the user updated styles and implemented test runs, contributing to the overall quality and maintainability of the frontend code. The user also updated the project's dependencies by updating to the next minor version.
semantic-segmentationtext-annotationannotation-toolimage-classificationdata-labeling
shevchenkonik/dotfiles
Jul 2019 - Mar 2025
Contributions:60 pushes, 1 branch in 5 years 8 months
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