Programming and IT
Rating: 242
Russia Russia
Last activity: 29.08.2026 18:52

Viktor Kolyshkin Resume*

Viktor Kolyshkin specializes in Full Stack development, covering both Front-End and Back-End aspects. In his work, he utilizes tools such as HTML, CSS, Bootstrap, JavaScript, jQuery, Ajax, Gulp, Sass, WordPress, and PHP, including version 7 of PHP. He is also involved in web design, working with Figma, Adobe XD, and Adobe Photoshop.

Reviews

Viktor Kolyshkin is a professional and responsible performer, known for his high speed in task execution, attention to detail, and ability to work within project specifications. Reviews confirm his punctuality, politeness, constant availability, and willingness to make additional adjustments. Many clients note that he completes work ahead of schedule, offers his own solutions, and exceeds expectations in terms of quality. No negative feedback has been reported.

Portfolio projects

Skills and Technologies: web design, prototyping, UI/UX, Adobe Photoshop, Adobe Illustrator, Adobe XD, HTML5, CSS3, JavaScript, jQuery, AJAX, PHP7, MySQL, WordPress, ModX, Tilda, Gulp, Sass, PhpStorm.

Projects and Achievements: The candidate has successfully developed and integrated numerous websites and prototypes for various industries, including fitness clubs, stylists, online stores, veterinary clinics, service centers, and towing services. The projects utilized modern technologies and approaches, such as cross-browser responsive design, semantic microdata using Schema.org, and integration with popular CMS platforms, including WordPress and ModX. Special attention was given to creating websites with a high level of UI/UX, fast loading times, and responsiveness.

Achievements and Recognition: The candidate has developed multilingual websites, expanding service accessibility for an international audience. Projects such as "Towing Service in St. Petersburg" and "Blockchain World System" demonstrate the candidate's ability to work with diverse clients and requirements, ensuring high quality and client satisfaction.

* 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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