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. During development, 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 competence in server setup, APIs, automation, integrations, and working with systems like Superset. He works consistently and is skilled at finding solutions when challenges 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, Celery, Redis, Docker, API integrations, graphical interfaces, machine learning, web development, UX/UI design.

Projects and Achievements: Yerem has implemented numerous projects, including pathfinding algorithms for the Pacman agent, a trading terminal with a GUI for automating trading, high-load data parsing systems using Celery and Redis, as well as solutions for automating application processing and CRM integration. As a result of his work, significant improvements were achieved, such as a 6-7 times increase in data processing speed, a 60% reduction in order processing time, and a decrease in errors to zero.

Achievements and Recognition: Yerem has developed reliable systems that have become essential tools for businesses, ensuring the automation of routine processes and enhancing customer service quality. His projects have received positive feedback from clients and contributed to a significant increase in team efficiency.

* 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