RussiaAnton Limonov Resume*
Anton Limonov has been developing websites since 2003, offering solutions ranging from simple to complex projects. In his work, he relies on a detailed analysis of the niche and competitors, creates unique selling propositions, and develops designs tailored to the specifics of the business. Anton's websites are characterized by a modern approach, technical proficiency, and a focus on the target audience. They also include analytics setup and search engine optimization for maximum effectiveness.
Reviews
Anton Limonov is known as a professional and responsible developer who delivers quality work on time. He is always available for communication and open to discussing projects, making collaboration with him comfortable and productive. However, it is worth noting a single negative review mentioning issues with meeting deadlines and a lack of communication on a project. Despite this, Anton consistently receives high ratings for his work, and many clients are eager to continue working with him in the future.
Portfolio projects
Skills and Technologies: Website development using CMS Joomla, creation of online stores with the Joomshopping component, responsive design with HTML, CSS, and JQuery, CRM system integration, SEO optimization, and using Bootstrap 4.
Projects and Achievements: The candidate has developed numerous websites and online stores on the Joomla platform, including both unique and template designs. Key projects include the "Consumer Rights" award website, noted for its unique design and modular structure, and a construction company website that ranks in the top 5 of Yandex search queries. Additionally, online stores were created with features such as AJAX filters and carts, automatic delivery calculation, and online payment. The candidate also completed responsive design and integration with Amo CRM for a landing page.
Achievements and Recognition: The candidate's projects rank highly in search engines, demonstrating effective SEO optimization. The online stores developed by the candidate offer a convenient shopping experience thanks to modern features and design.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.