Garik Dadayan is a full-stack developer who creates turnkey web solutions with a focus on business results. He views websites as sales tools, taking into account market specifics, competitors, and target audience behavior. He works directly with clients, ensuring transparency, adherence to deadlines, and high code quality. His expertise includes landing pages, corporate websites, online stores, web applications, CRM systems, Telegram projects, and SaaS. He utilizes a modern tech stack that includes React, Next.js, NestJS, TypeScript, PostgreSQL, as well as Python, .NET, Docker, Redis, and WebSocket.

Reviews

Garik Dadayan is a professional and responsible specialist who delivers work of high quality, promptly, and in accordance with requirements. He is known for his attention to detail, ability to grasp the essence of tasks, structured reporting, and readiness to make adjustments. Always available, he responds quickly to inquiries, demonstrating patience and a client-oriented approach. No negative feedback has been reported.

Portfolio projects

Skills and Technologies: web development, SaaS, B2B, Next.js, React, TypeScript, NestJS, PostgreSQL, PHP, SQLite, Playwright, WebSocket, responsive design.

Projects and Achievements: The candidate has developed several high-functionality web platforms, including a SaaS marketplace for international freight transportation featuring four user roles and real-time application processing, as well as a B2B catalog of industrial tools with over 5,000 products, which includes a shopping cart and personal account. He also created a landing page for a transportation company with WhatsApp integration for handling requests and redesigned a tile online store, updating key sections without losing SEO rankings.

Achievements and Recognition: The MVP of the SaaS marketplace was successfully deployed and is ready for the integration of real data, allowing the product to be gradually introduced to users. As a result of the redesign of the online store, the user interface improved, and an AI chat was implemented, reducing the load on customer support. All projects demonstrated high performance and responsiveness, ensuring a positive user experience.

* 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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