Ivan Gueorguiev
Product Designer & Architect at COZYROC
Sofia, Sofia-City, Bulgaria
Summary
👤
Senior🎓
Top SchoolIvan Gueorguiev is a Product Designer & Architect with 12 years of experience building and shaping software teams and products from Sofia, Bulgaria. He blends hands-on C++ backend engineering—contributing performance and templated improvements to the well-regarded mlpack machine learning library—with product-level design and architecture at COZYROC. A seasoned consultant and former co-founder, he has led teams, run offices, and delivered embedded and real-time analytics for connected devices, bringing pragmatic engineering to user-focused solutions. Outside work he channels the same systematic creativity into sailing, climbing and backcountry skiing, and has translated that team-building passion into running BORA Sailing to make the sport more accessible.
12 years of coding experience
23 years of employment as a software developer
Master's degree, Computer Science, A, Master's degree, Computer Science, A at Sofia University St. Kliment OhridskiMath & Computer Science, A, Math & Computer Science, A at Sofia Highschool of Mathematics
Stackoverflow
1,186reputation
167kreached
17answers
0questions
numpy
top-5%
Github Skills (17)
c-language10
machine-learning10
cplus10
cpp10
cprogramming-language10
data-structure9
algorithms9
numpy9
data-structures9
macos6
nodejs6
tensorflow6
drag-and-drop6
python6
webpack6
Programming languages (6)
Github contributions (5)
mlpack/mlpack
Oct 2016 - Oct 2017
mlpack: a fast, header-only C++ machine learning library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:52 commits, 3 PRs, 36 comments in 1 year
Contributions summary:Ivan primarily contributed to the `mlpack` library by adding features and making improvements to the command-line interface (CLI) functionality. Specifically, the commits involve enhancements to the CLI for handling vector options, allowing options to be specified multiple times. Furthermore, the user refactored the DTree class by making it templated which improved the library's flexibility and type-safety. This also included creating optimized implementations for sparse matrices which boosted performance.
regressionheaderdeep-learningscientific-computingc-plus-plus
thejonan/Toxtree.js
Apr 2016 - Jun 2019
Contributions:53 pushes, 25 branches, 10 tags in 3 years 2 months
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