Cyril Makankov
IOS Lead Developer at Project 101
Saint Petersburg, Saint Petersburg, Russia
Summary
🤩
Rockstar🎓
Top SchoolCyril Makankov is an iOS lead developer with 12 years of experience building and scaling mobile apps from architecture to release, currently leading iOS development at Project 101 in Saint Petersburg. He has driven technical decisions, mentoring, and hands-on engineering across consumer and social products—improving stability, UX, and monetization at Topface and delivering partner-reviewed apps at Grid Dynamics. Cyril has practical expertise in real-time sync (WebSocket), CoreData, multithreading, and native integrations like HealthKit, Passbook and OCR; he contributed meaningful enhancements to a popular Tesseract OCR iOS framework to support arm64/x86_64 and improve recognition UX. He combines strong academic grounding in electrical engineering with a proven track record of hiring and growing teams, plus a knack for turning research POCs (indoor navigation, receipt scanning) into production features.
12 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at 고려대학교Инженер, Промышленная электроника, 4.8, Инженер, Промышленная электроника, 4.8 at Томский Государственный Университет Систем Управления и Радиоэлектроники
Русский, Английский, Корейский
Github Skills (10)
ocr10
web-framework10
build-system10
ios10
c-language10
ocra10
cprogramming-language10
tesseract10
image-processing9
objective-c9
Programming languages (7)
Github contributions (5)
gali8/Tesseract-OCR-iOS
Jan 2014 - Jan 2016
Tesseract OCR iOS is a Framework for iOS7+, compiled also for armv7s and arm64.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:57 commits, 44 PRs, 9 pushes in 2 years
Contributions summary:Cyril primarily focused on enhancing the iOS framework for Tesseract OCR. Their contributions included expanding the build process to support arm64 and x86_64 architectures, crucial for simulator and device compatibility. They also implemented features such as an initializer to use trained data from the application bundle and a Tesseract engine monitor for recognition progress, thus improving the user experience. These changes involved modifying build scripts and core framework code.
optical-character-recognitionocriostesseractcompiled
ws233/SOLIDArch
Jan 2020 - Nov 2022
The basic classes for implementing SOLID architecture in Swift.
Contributions:10 commits, 18 pushes, 1 branch in 2 years 10 months
swiftiosarchitecturesolid
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