Vadym Markov
Senior Software Engineer at Pexip
Oslo, Norway
Summary
🤩
Rockstar🎓
Top SchoolVadym Markov is a Senior Software Engineer based in Oslo with 11 years of experience building native iOS apps and platform tooling across mobile, tvOS and watchOS. He blends hands-on engineering with team leadership and R&D—having led mobile teams at Hyper and delivered product-grade apps at FINN.no and Pexip—while mentoring peers and collaborating closely with designers and backend teams. A prolific open-source contributor, Vadym has improved widely used Swift libraries (image pickers, barcode scanner, caching, forms, and UI utilities) and authored projects such as a Swift pitch detector and a fake-data generator, demonstrating depth in audio, UI/UX and infrastructure concerns. He is strong in app architecture, performance tuning, testing and system design, with a practical interest in data structures and algorithms. Notably, his contributions often focus on polish and developer ergonomics (rendering modes, device detection, animation refinements and testability), reflecting a pragmatic attention to detail that improves both user experience and maintainability.
11 years of coding experience
11 years of employment as a software developer
Master’s degree, Systems and methods of decision making, Master’s degree, Systems and methods of decision making at Petro Mohyla Black Sea State University
English, Russian, Ukrainian, Norwegian
Stackoverflow
16reputation
1kreached
1answer
0questions
Github Skills (37)
unit-testing10
uiimage10
objective-c10
caching10
presenter10
image-picker10
presentationml10
ios10
animation10
presentation-layer10
user-interface10
ui-design10
data-parsing10
graphical-user-interface10
autolayout10
Programming languages (7)
Github contributions (5)
vadymmarkov/Fakery
Mar 2015 - Aug 2022
:alien: Swift fake data generator
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:25 releases, 1 review, 287 commits in 7 years 6 months
Contributions summary:Vadym contributed to the development of the Swift-based data generation library, Fakery. Their primary focus was on implementing core functionalities, including the implementation of data providers, generator specifications, and parsing functionality. They also introduced features like numerification, letterification, and bothification. Furthermore, they added tests for parsing functionality, demonstrating a commitment to code quality and thoroughness.
fake-data-generatorloremalienswiftdata-generator
vadymmarkov/Beethoven
Oct 2015 - Sep 2021
:guitar: A maestro of pitch detection.
Role in this project:iOS Mobile Developer
iOS Mobile DeveloperContributions:10 releases, 1 review, 236 commits in 5 years 11 months
Contributions summary:Vadym primarily focused on developing an iOS pitch detection application within the "beethoven" repository. Their contributions involved the initial creation of a `PitchDetector` class and subsequent implementation of essential functionalities, including delegate setup, initialization with configurable parameters, and the integration of sample data processing. The user also integrated an `AudioProcessor` to receive the samples. Their commits demonstrate a clear focus on implementing the core logic for audio pitch detection in Swift.
pytorchaudio-processingaudiokitdeep-learningpitch-detection
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