Programming and IT
Rating: 1 209
Professionalism: 10
Communication: 10
Russia Russia
Last activity: 02.02.2026 16:33

Vladimir Cherny Resume*

Vladimir Cherny founded the IT company Appomart and has been developing mobile applications and web services for businesses and startups since 2016. Together with his team, he has completed over 70 projects, covering everything from concept development to post-launch support. Special attention is given to the development of delivery services, geolocation services, social networks, and other digital solutions that integrate into existing business processes or create new ones.

Reviews

Vladimir Cherny and his team at Appomart demonstrate high professionalism and expertise in developing and enhancing mobile applications. Clients appreciate their ability not only to fulfill technical requirements but also to suggest valuable improvements that enhance efficiency and user engagement. Communication with Vladimir and his team is clear and constructive, making collaboration both productive and reliable. No negative aspects are mentioned in the reviews.

Portfolio projects

Skills and Technologies: Web development, mobile applications, social networks, e-commerce, fitness trackers, video streaming, integration with external services.

Projects and Achievements: The candidate has participated in the development of a variety of projects, including social networks BeeMe and Friply, e-commerce platforms for construction and agricultural products, fitness applications FitAim and MotherFit, as well as video streaming services SmartBike and a government project. He has also worked on service-ordering applications such as Toolly Serbia and VroomVroom.io, and developed travel and educational applications like Sightsee.me and Nikon.

Achievements and Recognition: Projects like VroomVroom.io and Toolly Serbia have received positive user feedback, while fitness and meditation applications such as FitAim and re.Tri have been highly praised for their convenience and functionality.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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