Ilya Goncharik is a full-stack developer who creates landing pages, web services, Telegram bots, and AI-based solutions for businesses. He works on turnkey projects, handling everything from designing the structure and interface to implementing the frontend and backend, integrating databases, APIs, and external services, as well as testing and launching. His specialization lies in developing systems for customer acquisition, application processing, and automating workflows.

Reviews

Natalia is a performer who demonstrates high efficiency, quality task execution, and the ability to consider client requests. She works consistently, showing a creative approach and engagement in projects. Reviews indicate long-term and successful collaborations, as well as recommendations from clients. No negative feedback has been reported.

Portfolio projects

Skills and Technologies: web development, responsive design, HTML, CSS, JavaScript, React, Vite, Next.js, TypeScript, Tailwind CSS.

Projects and Achievements: The candidate has developed several websites for various businesses, including legal assistance, a barbershop, a wine bar, a grooming salon, a café, and an architectural bureau. Each project aimed to create a user-friendly interface that simplifies the process of booking or obtaining information. For example, the legal assistance website "PravoPlus" showcases the company's services and expertise, while the NORD FADE barbershop site allows users to quickly book services, significantly enhancing user interaction. The wine bar website "Poluton" emphasizes the establishment's atmosphere and simplifies the reservation process.

Achievements and Recognition: The candidate has successfully created websites that not only reflect the style and character of the business but also significantly enhance user convenience. All projects feature a high degree of responsiveness and visual appeal, which helps attract clients and improve engagement. The websites are suitable for use in advertising and social media, confirming their effectiveness as business tools.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

русская версия