Programming and IT
Rating: 11 070
  • Education: Master's degree
  • Work experience: 13 years
  • Type of employment: Full-time freelancing
  • Legal status: Individual
Cost of services: 1 800 RUB per hour / 500 000 RUB per month
Team experience: Team lead / Manager
Language skills: Russian, English
Available / contact time: 11:00 - 21:00 (GMT+3)
Last activity: 23.02.2026 00:13

Sergey Evtushenko Resume*

Sergey Evtushenko specializes in developing web applications using JavaScript and PHP, working with popular frameworks such as Vue, React, and Node. He is skilled in creating 3D models with Three.js, designing websites of varying complexity, and developing online stores, landing pages, and multi-page portals. In addition to his technical skills, he maintains a bilingual level of English and emphasizes teamwork, responsibility, and high-quality project execution.

Reviews

Sergey Evtushenko has established himself as a reliable and professional freelancer with numerous positive reviews from clients. His main strengths include prompt task completion, high-quality work, adherence to deadlines, and constant communication with clients. Sergey takes initiative, offers project improvements, and provides effective solutions. He is capable of handling unconventional tasks and complex projects. Sergey has a proven track record of successful long-term collaborations with numerous clients.

Portfolio projects

Skills and Technologies: Responsive design, HTML5, CSS3, JavaScript, Figma, Flexbox, Grid, cross-browser testing.

Projects and Achievements: The candidate has developed several responsive landing pages and websites, including a site about the English language, the Greenworld.foundation donation fund site, and the "Fire Equipment" online store. These projects utilized HTML5, CSS3, and JavaScript to create interactive and cross-browser solutions. In one project, the candidate successfully completed the layout for an online store landing page, ensuring proper display across all devices and popular browsers.

Achievements and Recognition: The candidate has demonstrated the ability to create clean and optimized code, ready for backend integration, as evidenced by the successful delivery of projects to clients.

* 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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