Artem Anufriev resume

Artem Anufriev specializes in the development of full-stack services, utilizing his expertise in Delphi, PHP, and JavaScript. In addition to web development, he creates programs for Windows and Telegram bots, effectively combining diverse tasks in his work.

Reviews

Artem Anufriev demonstrates a high level of professionalism and responsibility. All reviews highlight his ability to complete tasks quickly and efficiently, maintain communication, and pay close attention to clients' wishes. He is noted for his excellent understanding of projects, initiative, politeness, and courtesy. Clients express complete satisfaction with their collaboration and are willing to work with him again. No negative reviews or remarks have been found.

Portfolio projects

Skills and Technologies: PHP, MySQL, HTML/CSS, JavaScript, Telegram bot development, creation of online services and e-commerce stores, process automation, data parsing.

Projects and Achievements: The candidate has developed a variety of projects, including Telegram bots for task automation such as website parsing and providing information on request. An online store was created for a fabric atelier, offering a complete cycle from product viewing to order processing, with integration of notifications in Telegram. An online service for automating government procurement was developed, allowing for the instant creation of necessary documents. Educational and entertainment online platforms were also created, such as an online game for children and a chess problem book, which promote learning through interactive tasks. Projects include complex admin panels for managing content and users.

Achievements and Recognition: The candidate has successfully implemented projects that provide automation and convenience for users, such as an online dietitian calculator offering personalized recommendations. The developed solutions demonstrate the candidate's ability to create functional and user-oriented applications, as evidenced by the availability of working links to the projects.

* 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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