Pavel Kalnitsky specializes in developing websites of varying complexity, with seven years of experience in creating web projects for online games that have high demands for design and functionality. He utilizes modern technologies and tools, including HTML, CSS, JavaScript, PHP, React/Redux, and Svelte, as well as graphic editors like Photoshop, Figma, and Illustrator. Pavel is skilled in working with popular CMS platforms, including WordPress, Joomla, and ModX, and offers services in creating responsive designs, layout, engine configuration, and technical support for projects.
The freelancer completes work quickly and efficiently, responding promptly to requests and capable of offering their own solutions. They take on tasks beyond the initial assignment. No negative feedback has been reported.
Skills and Technologies: web development, responsive layout, WordPress, WooCommerce, Figma, JavaScript, CSS, CMS integration, interface design.
Projects and Achievements: The candidate has successfully completed numerous projects, including the creation of online stores on WordPress with WooCommerce integration and responsive layouts, as well as developing websites for scientific and museum centers and gaming projects. In each project, he ensured high-quality responsive layouts, integration of interactive elements, and optimization of user experience. For example, a modern and user-friendly interface was created for the Dugalak online store, leading to positive client feedback and continued collaboration. In the Maslovka project, a fully functional website was launched, which became the main information resource for the museum.
Achievements and Recognition: The candidate has demonstrated the ability to work under tight deadlines, creating unique solutions for various clients. His work includes successful redesigns and logo development, contributing to improved visual perception of brands. As a result of his projects, clients received convenient and functional platforms, which is confirmed by high levels of satisfaction and positive reviews.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.