Alexey Mei is a designer specializing in creating websites that blend aesthetics with functionality. He primarily works on the Tilda platform, managing projects from concept to launch, including landing pages, online stores, corporate websites, promotional pages, and other turnkey solutions. When necessary, he conducts analysis of the target audience, competitors, and user behavior, and can also support the project post-handover, including A/B testing. In complex cases, he collaborates with a programmer to ensure high-quality execution. He does not engage in coding, print production, or social media design.

Reviews

Alexey Mei is a professional and responsible designer who consistently delivers work on time, with high quality, and in consideration of client requests. He is noted for his excellent communication skills, promptness, a thoughtful approach to tasks, and the ability to understand clients with minimal explanation while offering effective solutions. Many clients highlight his creative approach, attention to detail, and willingness to work under tight deadlines, including weekends. No negative feedback has been reported.

Portfolio projects

Skills and Technologies: web design, UX/UI, Tilda, Figma, Zero Block, HTML/CSS, JavaScript, SEO optimization, responsive design, animation.

Projects and Achievements: The candidate has developed and launched numerous websites on the Tilda platform, including online stores, corporate sites, and landing pages. Among the key projects is the creation of a catalog website for a garden furniture manufacturer, which provided the client with ease of managing their product range, and a personal website for an HR expert, which stands out from competitors due to its unique design and animation. Additionally, multi-page websites have been implemented for companies in logistics, healthcare, and consulting, enhancing user experience and increasing conversion rates.

Achievements and Recognition: The candidate successfully optimized websites for mobile devices, improving accessibility and convenience for users. As a result of his work, clients received resources that can be easily managed without the need for developers, significantly reducing support costs. Clients report a high level of satisfaction with the results, as evidenced by positive feedback and successful project launches.

* 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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