Andrey Almeev began his journey in the field of automation of technological processes, where he developed software and control algorithms. This experience helped him cultivate a systematic approach and the ability to work with complex architectures. Since 2015, he has focused on web development, mastering a wide range of technologies including PHP, JavaScript, Node.js, and databases. He has been creating web applications, integrations, and real-time systems. In his work, he combines backend and frontend skills, from designing architecture to optimizing performance, always striving to offer solutions and see tasks through to completion. Andrey is open to new projects where he can apply his experience and knowledge.
Andrey Almeev is a professional and responsible executor who completes tasks quickly, efficiently, and on time. Reviews confirm his high competence in solving complex technical challenges, including security configuration, system integration, API development, and working with CMS. He has a strong ability to understand the essence of a project and suggest improvements. His constant availability, willingness to engage in voice communication, and consideration of all client requests set him apart as a reliable partner. No negative feedback has been found.
Skills and Technologies: Development of LLM agents, CRM integration, API, web development, data analytics, creation of interactive dashboards.
Projects and Achievements: The candidate developed an LLM agent for automating processes in the beauty industry, providing 24/7 interaction with clients through messaging platforms, which reduces the workload on administrators and enhances service quality. Additionally, a web service was created for analyzing the unit economics of Ozon sellers, allowing for the automatic collection and analysis of financial data, generating interactive dashboards and reports. Furthermore, the candidate designed a landing page for the first arbitration court in Khimki and a website for a real estate agency featuring an intuitive admin panel.
Achievements and Recognition: The implementation of the LLM agent led to the automation of key customer interaction processes, improving user experience and increasing the efficiency of the salon's operations. The web service for Ozon provides accurate calculations of financial metrics, contributing to more effective business management.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.