Sergey Stadniychuk specializes in software development for computers, phones, and servers. With over 10 years of experience in programming languages such as C++, C#, Python, Java, Kotlin, and Swift, he creates applications for Windows, Linux, macOS, Android, and iOS. His work focuses on efficiency, reliability, and meeting individual client needs. Throughout his career, Sergey has successfully delivered numerous projects while continuously improving his skills and staying up to date with technological advancements to provide cutting-edge solutions.
Sergey Stadniychuk is a freelancer who is frequently praised in reviews for his high speed, adherence to technical specifications, quality of work, and promptness in addressing feedback. Many clients note that projects were completed ahead of schedule, while others highlight his professionalism and willingness to assist beyond the scope of the initial task. However, there is one negative review describing him as a sloppy programmer with a terrible attitude toward clients. This criticism stems from delays in an application and a conflict which Sergey attributes to the client's emotionally charged reaction. Despite this isolated incident, the majority of reviews are positive and do not indicate any systemic issues.
Skills and Technologies: The candidate possesses a broad technology stack, including mobile development with React Native, Xamarin Forms, Kotlin, and Android Studio. His expertise also covers backend development using .NET Core and creating desktop applications for Windows, macOS, and Linux with C#, utilizing WinTun/Leaf for networking tasks. Experience includes working with APIs such as Binance, VK, OLX, and Youla, automating processes through bots and scripts, and applying computer vision libraries like OpenCV alongside multithreaded data processing.
Projects and Achievements: The portfolio demonstrates a wide range of solutions, from complex systems to utility tools. Key projects include NotVPN, a cross-platform VPN client; an app store for Geely Galaxy Chinese cars; and the Flyme Auto localization system. He has developed specialized bots for booking border queues between Belarus and Lithuania, as well as an automated futures trading program for Binance featuring flexible strategy configuration and capital protection. Marketing and social media tools were also created, including an auto-responder for OLX, mass mailing for VK groups, Instagram follower automation, and a video uniquifier for YouTube. Additionally, he built gaming projects (an Xonix remake and a Lineage 2 launcher), a Windows optimization utility, and Agape, an application for couples.
Recognition and Impact: The candidate successfully delivered products that solve niche user problems, such as bypassing platform restrictions via ADB-free app installation, automating routine operations like slot booking and trading, and enhancing user experience through game optimization. These projects are characterized by high functional completeness, multi-account support, and integration with external services, confirming his ability to create reliable and scalable solutions across various domains.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.