Fedor Golishevskii

Software Developer at Reaktor

Brown's Town, Saint Ann, Jamaica
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Summary

👤
Senior
🎓
Top School
Fedor Golishevskii is a versatile software developer with 11 years of experience spanning biology, embedded systems, full-stack web development, and DevOps. He has built and operated large-scale infrastructure—provisioning multi-DC clusters, automating rollovers for 200k concurrent connections, and implementing CI/CD and chatOps tooling—while also shipping user-facing features and web extensions. At companies from BIOCAD to SberDevices and Reaktor he bridged research-grade data collection and reverse engineering with production deployments using Go, Python, Next.js, Kubernetes, Terraform and observability stacks. An active contributor to the popular web-scrobbler project, he’s comfortable extracting subtle metadata from diverse streaming sites, showing attention to edge-case parsing and real-world user experience. Trained as a biochemist, he brings scientific rigor to engineering problems and a hands-on, learn-on-the-job mindset. Based in Jamaica, he looks for technically challenging roles where infrastructure reliability and practical product impact meet.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science (BSc), Biochemistry, Bachelor of Science (BSc), Biochemistry at Saint Petersburg State University
languagesRussian, English
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Github Skills (7)

webext10
javascript10
webextension10
browser-extension10
firefox-addon9
chrome-extension9
google-chrome-extension9

Programming languages (11)

TypeScriptC#ShellCSSC++CRustJavaScript

Github contributions (5)

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web-scrobbler/web-scrobbler

Aug 2015 - Oct 2015

Scrobble music all around the web!
Role in this project:
userFull-stack Developer
Contributions:8 commits, 5 PRs, 32 comments in 2 months
Contributions summary:Fedor primarily contributed to the `web-scrobbler` project by adding and modifying connectors for various music streaming services, specifically Dream FM. Their work involved implementing functionality to extract song metadata, including artist, track, and album information. They also fixed existing bugs and addressed warnings related to the connector implementations, enhancing overall application stability and user experience. Additionally, the user's contributions demonstrate experience with JavaScript, as well as a general understanding of web extension development.
scrobblewebextensionlastfmlibrefmlistenbrainz
fedorg/fedorg.github.io

Jul 2015 - May 2023

A public page with a blog
Contributions:2 PRs, 36 pushes, 4 branches in 8 years
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