Asim Hashimov
Head Of Architect Department at Exadel
United States
Summary
🤩
Rockstar🎓
Top SchoolAsim Hashimov is a technology leader and software architect currently heading the Architect Department at Exadel, with a decade-long track record of designing scalable enterprise systems and leading engineering teams. He progressed from hands-on Java/Groovy development and GWT front-end work to team leadership and now strategic architecture, blending deep implementation experience with organizational oversight. Asim contributes to open-source projects such as the popular CompreFace face-recognition system, where his backend work added model cloning, face verification endpoints, and base64 image support. Based in the United States and grounded in an Information Systems and Technologies degree, he excels at turning research-grade ML components into production-ready services. Colleagues value him for marrying pragmatic engineering with a knack for refactoring and test-driven improvements that reduce technical debt. He brings a practical emphasis on data-driven features and maintainable backend design to complex, security-sensitive applications.
5 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Information Systems and Technologies, Bachelor’s Degree, Information Systems and Technologies at Belarusian State University of Informatics and Radioelectronics
Русский, Английский
Github Skills (12)
javas10
rest-api10
java10
spring-boot10
api-design9
dockers9
postgresql9
api9
docker9
apim9
computer-vision9
unit-testing8
Programming languages (1)
Github contributions (1)
exadel-inc/CompreFace
Jan 2021 - Apr 2021
Leading free and open-source face recognition system
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 reviews, 20 commits, 26 PRs in 3 months
Contributions summary:Asim primarily contributed to the backend of the "compreface" repository, focused on features related to model cloning, face verification, and base64 image support. They implemented functionality for model cloning, including database interactions and app model access handling. The user added a face verification endpoint, integrated base64 image support, and refactored tests and common resources, enhancing the functionality of the face recognition system.
face-mask-detectionface-verificationinsightfaceface-recognitionrecognition
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