Mikhail Skidan is a full-stack developer with a focus on backend development, specializing in PHP, Lumen, and Laravel, and has five years of experience in commercial development. He works with React, Docker, Nginx, and other DevOps tools, confidently setting up and maintaining projects in a containerized environment. Mikhail has experience in creating and supporting web applications, integrating external APIs, including payment systems, as well as enhancing CMS projects such as WordPress and WooCommerce. He is familiar with Node.js, Python, and the basics of C#, Java, and Scala, and actively uses Git in team collaboration. Mikhail stands out for his ability to work with legacy code, solve unconventional technical challenges, and take responsibility for results independently.
The freelancer completes work quickly, efficiently, and accurately according to the specifications. Reviews highlight professionalism, attention to detail, and a willingness to tackle tasks, including complex technical aspects such as animations and fixing feedback forms. The contractor demonstrates initiative, often exceeding expectations, and provides consulting support after the project is delivered. No negative feedback has been reported.
Skills and Technologies: web development, Laravel, React, PHP, PostgreSQL, MySQL, API integrations, Telegram Bot API, Electron, PWA, WordPress, SQL, Docker, JSON, ZIP, LibreOffice.
Projects and Achievements: The candidate has developed several web applications and bots, including an internal database for chess players, an auction bot on Laravel with 1C integration, and a monetary indexation calculator. As a result of working on these projects, significant improvements were achieved in process automation, reduction of data processing time, and decrease in errors. For example, the auction system allows for the automatic upload and publication of lots, while the indexation calculator processes hundreds of thousands of data rows, generating ready-to-use documents for legal work.
Achievements and Recognition: The candidate has successfully implemented projects that significantly optimized workflows, such as automating tournament participant registration and integrating with external systems. The solutions created are actively used in practice, confirming their effectiveness and reliability.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.