Erem Shahbazyan resume

Yerem Shahbazyan specializes in creating practical and reliable solutions for clients across various sectors, from small businesses to the public sector. In his work, he focuses on backend systems, web services, APIs, CRM modules, and automation tools, aiming to optimize processes and make them user-friendly for everyday use. When developing, Yerem adheres to the principles of simplicity, speed, and accountability, working with a tech stack that includes Python, Kotlin, Java, PostgreSQL, and Docker. In addition to coding, he assists in formulating tasks and designing system architecture, offering optimal technical solutions.

Reviews

Yerem Shahbazyan is a professional executor who meets deadlines, responds promptly to inquiries, and provides detailed explanations of technical aspects. Reviews confirm his expertise in server configuration, APIs, automation, integrations, and working with systems like Superset. He operates reliably and is skilled at finding solutions to challenges that arise, maintaining communication with clients throughout the process. All projects have been completed successfully, often ahead of schedule, and there are no negative reviews.

Portfolio projects

Skills and Technologies: Python, Java, FastAPI, Spring Boot, PostgreSQL, Docker, Celery, Redis, Telegram API, web development, microservices architecture, process automation, API integrations, UX/UI design.

Projects and Achievements: The candidate has developed high-load data parsing systems using task queues and anti-detection approaches, which increased the volume of processed data by over 10 times and ensured stable operation during peak loads. He created a Telegram bot for automating application processing, which doubled the processing speed and reduced lead losses to zero. The implementation of an AI assistant for application handling reduced processing time by 2-3 times, improving the quality of initial contact with clients. The candidate also developed a platform for managing products and sales, which increased inventory accuracy to over 98% and tripled order processing speed.

Achievements and Recognition: The candidate has received positive feedback from clients for successfully implementing systems that significantly simplified business processes and improved operational efficiency. His projects have enabled clients to reduce time spent on routine operations, minimize errors, and enhance customer interactions, contributing to business growth and increased competitiveness.

* 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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