Mikhail Dmitriev specializes in web programming, working on both the client side (JavaScript, HTML, CSS) and the server side (NodeJS, Java, Python, Perl, PHP). He has over 12 years of experience in developing corporate websites and functional widgets, utilizing technologies such as Java, Tomcat, and Spring, while also working with databases like PostgreSQL, MySQL, MongoDB, and others. In his practice, he employs various programming languages, including C, C++, Rust, and Kotlin, with a focus on quality, reliability, and achieving results.

Reviews

Mikhail Dmitriev is a highly qualified specialist who delivers work with quality, efficiency, and often ahead of schedule. Reviews highlight his responsibility, knowledgeable approach, willingness to exceed expectations, and detailed explanations of his solutions. However, there is one negative review: in a particular instance, he failed to meet a deadline, completed the work incorrectly in terms of design, refused to make revisions, and canceled the order while filing a complaint regarding the price.

Portfolio projects

Skills and Technologies: data parsing, web development, Java, PHP, JavaScript, API integration, CMS management, interface development, process automation, and database management.

Projects and Achievements: The candidate developed a teleparser for extracting information from Telegram, which enabled the creation of a tool for obtaining current news data and an interface for selling functionality to clients. In the context of automating the parsing of docx documents into JSON, XSLT transformation tools were utilized on PHP. Additionally, the candidate participated in the support of pgAdmin III, ensuring its functionality in embedded systems. A significant project involved the deployment and adaptation of Ghost CMS for a blog, as well as the integration of WYSIWYG editors into websites, which enhanced the user experience.

Achievements and Recognition: The candidate successfully implemented over 50 projects connecting payment systems to custom-built websites, demonstrating his expertise in payment solution integration. He also developed a medical franchise calculator that allows users to interact with the site through dynamic elements, increasing conversion rates. The candidate actively shares his work on GitHub, reflecting his engagement with the developer community.

* 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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