Kristian Tashkov

Senior Staff Machine Learning Engineer at Hyperscience

Sofia, Sofia-City, Bulgaria
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Summary

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Senior
🎓
Top School
Kristian Tashkov is a Senior Staff Machine Learning Engineer with 12 years of experience building production ML systems and leading teams, currently driving advanced ML at Hyperscience. With a Master's in Artificial Intelligence from Sofia University, he combines deep expertise in Python, C++, Java, .NET and PyTorch/TensorFlow to ship robust models and scalable infrastructure. His career includes progressive technical leadership roles at Hyperscience and a senior ML role at Microblink, plus early engineering stints at Google and Gameloft that solidified his software engineering foundations. An active full‑stack contributor to the popular Habitica project, he has hands‑on backend and testing experience that complements his model development work. Known for bridging research-grade ML with pragmatic production practices, he brings both algorithmic rigor and a strong engineering discipline to complex data-centric products.
code12 years of coding experience
job13 years of employment as a software developer
bookMaster's degree in Artificial Intelligence, Computer Science, Master's degree in Artificial Intelligence, Computer Science at Sofia University St. Kliment Ohridski
bookPlovdiv, Math High School " akad. Kiril Popov"
languagesEnglish
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Github Skills (16)

javascript10
express-ts10
nodejs10
api10
apidoc10
test-automation10
testing10
vuejs29
vue9
vagrant9
vuejs39
mongodb-database8
mongodb8
git5
css4

Programming languages (7)

TypeScriptC++JavaScriptJupyter NotebookRubyPythonKotlin

Github contributions (5)

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HabitRPG/habitica

Dec 2015 - Jan 2016

A habit tracker app which treats your goals like a Role Playing Game.
Role in this project:
userFull-stack Developer
Contributions:16 commits, 17 PRs, 80 comments in 1 month
Contributions summary:Kristian primarily contributed to the backend and testing aspects of the Habitica application. They added dependencies and configured the Vagrant development environment for end-to-end tests. The user also fixed bugs related to group chat functionality and party joining logic, while also adding tests for the group join route. Moreover, they worked on implementing the challenge leave and select winner routes including their tests.
trackerexpressvuereactjsrole
Improve the out of the box Todoist experience
Contributions:15 reviews, 16 PRs, 148 pushes in 4 years 4 months
out-of-the-boxboxtodoist
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Kristian Tashkov - Senior Staff Machine Learning Engineer at Hyperscience