Joan Karadimov
Software Developer at PharVision Capital
Sofia, Sofia-City, Bulgaria
Summary
👤
Senior🎓
Top SchoolJoan Karadimov is a pragmatic software developer with 15 years of experience building full-stack web applications, reimplementing legacy UIs as single-page apps and designing internal tooling across startups and scaleups. Currently at PharVision Capital, he has held technical co-founder and senior development roles where he led architecture and full-stack delivery using modern stacks (React/TypeScript, GraphQL) and cloud platforms. He is a seasoned open-source contributor focused on build systems, compiler compatibility and cross-platform C/C++/Python integration—work that improved projects like pywin32 and the LibRaw image library. His contributions also span front-end theming (FullCalendar) and ML/data pipeline refinements, showing versatility from low-level build fixes to polished UI features. Based in Sofia, Bulgaria, Joan pairs hands-on coding with systems-level thinking and a knack for untangling build and dependency complexity that often hides behind smooth product surfaces.
15 years of coding experience
15 years of employment as a software developer
Bachelor's degree, Informatics, Bachelor's degree, Informatics at Sofia University St. Kliment OhridskiSofia High School of Mathematics
Bulgarian, English, German
Stackoverflow
101reputation
13kreached
5answers
0questions
Github Skills (42)
fullcalendar10
dependency-management10
javascript10
c-language10
event-handling10
bootstrap10
python10
api-design10
calendars10
windows10
css10
mingw10
build-system10
compatibility10
css-frameworks10
Programming languages (15)
Github contributions (5)
mhammond/pywin32
Jul 2019 - Dec 2020
Python for Windows (pywin32) Extensions
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 PRs, 15 comments, 2 issues in 1 year 4 months
Contributions summary:Joan focused on fixing compatibility issues related to the MinGW compiler and related build environments, particularly for the pywin32 extensions. Their work involved modifying source code, including adjusting macros and compiler options, to ensure the project compiled and ran correctly on MinGW. The user addressed errors related to various aspects of the project, including header inclusions, data types, and linking, by directly modifying C++ and Python code and build configurations.
pythonpywin32windowsextensionspython3
hwwang55/RippleNet
Sep 2018 - Sep 2018
A tensorflow implementation of RippleNet
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 3 PRs, 1 comment in 4 days
Contributions summary:Joan primarily focused on optimizing and refactoring the `data_loader.py` file within the RippleNet implementation. Their contributions included simplifying and shortening loops, improving the efficiency of knowledge graph iterations, and making code more concise through the use of `defaultdict`. Furthermore, the user fixed command-line arguments in a preprocessing script, ensuring the code aligned with the project documentation. These changes indicate a focus on improving the data loading and processing components of the project.
tensorflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.