Yarem Shahbazyan specializes in creating practical and reliable solutions for clients across various sectors, from small businesses to government entities. 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, Yarem adheres to 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.
Yarem Shahbazyan is a professional performer who completes tasks on time or even ahead of schedule, demonstrating deep technical knowledge, particularly in server setup, APIs, integrations, and automation. He is always available, responds promptly, and provides detailed explanations of his actions. He works consistently, handles challenges without losing motivation, and the payment process through self-employment is seamless. Client feedback is positive, with intentions to continue collaboration.
There are no negative comments in the reviews.
Skills and Technologies: artificial intelligence, process automation, data parsing, VPN infrastructure, fault-tolerant server architecture, online ticket sales, financial dashboards, mobile applications, banking API integration, product and sales management, web development, payment analytics, logistics platforms, corporate websites.
Projects and Achievements: The candidate successfully implemented an AI assistant for automating application processing, reducing processing time by 2-3 times and improving the quality of initial contact. He developed a parser for gathering competitor data, which decreased information collection time from hours to minutes. He created a corporate VPN service that ensures stable connections and traffic masking. He designed a fault-tolerant server infrastructure that enhanced service stability. He implemented an online ticket sales and validation system for a museum, reducing queues and lowering operational costs. He developed the Saibi-Bobo financial dashboard, simplifying personal finance management. He created a mobile application for tracking field employees, which reduced delays and improved oversight. He implemented a payment analytics service, increasing data processing speed by 6-7 times. He developed a product management platform, increasing inventory accuracy to over 98%. He created a web platform for a logistics company, automating over 70% of processes. He developed a corporate website for a company modernizing engineering systems, which increased inquiries by 35%.
Achievements and Recognition: The candidate achieved significant improvements in process efficiency and customer service quality, which was recognized by the company's management as one of the best updates of the year.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.