Nikolay Shikin is a freelancer with 13 years of experience who takes on tasks when others refuse. He specializes in complex backend development, high-load websites, DevOps, network infrastructure, and Data Science & AI. Nikolay ensures projects reach completion, saving clients time by providing video guides and conducting engineering audits for optimal architecture. His case studies include rapid OpenVPN setup, YOLO integration in Matlab, parsing EU marketplaces, and creating autonomous retail solutions using 1C and Raspberry Pi.
Nikolay Shikin has received numerous positive reviews highlighting his professionalism, promptness, and quality of work. Clients appreciate his ability to quickly and efficiently solve problems, provide detailed explanations and consultations, as well as his patience and attention to detail. Nikolay is always available, ready to help, and offers multiple solutions. His work is described as reliable and high-quality, which encourages clients to recommend him to others.
Among all the reviews, there is a minor instance where a client experienced some misunderstandings due to an unclear project specification, but the task was successfully completed in the end. Overall, all reviews reflect a high level of professionalism and client satisfaction.
Skills and Technologies: Load testing, fault tolerance, Node.js, Docker, WireGuard, OpenVPN, VLESS, Python, PostgreSQL, Redis, Raspberry Pi, OpenWrt, VPN, CI/CD, PWA, HTML5/CSS3/JavaScript, Laravel, API integration, process automation, reverse engineering.
Projects and Achievements: The candidate developed a distributed load testing system for an online store, which increased server resilience by four times and reduced website response time to 400 ms. A control system for 30 retail locations was created using a Telegram bot and PostgreSQL, reducing checkout times to 5–10 seconds. A mobile VPN client was developed with WireGuard/OpenVPN integration, ensuring high connection speeds. The process of generating marketplace product cards was automated, speeding up content preparation by 50 times. A fault-tolerant management system for a pharmacy network was implemented using Raspberry Pi and OpenWrt, ensuring 100% uptime.
Achievements and Recognition: The candidate achieved a 60% increase in client revenue during the "peak season" by optimizing server infrastructure. The load testing system saved the client approximately 300,000 rubles on server equipment. The solutions developed ensured stable business operations even during digital isolation, demonstrating the candidate's high level of professionalism and technical competence.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.