Senior Backend Engineer

I develop and maintain Python and Rust backend services for a computer vision platform processing real-time video and photo streams from more than 5,000 edge devices in urban infrastructure. I own backend feature delivery from requirement clarification through production release.

I migrated performance-critical Python components to Rust to reduce latency and infrastructure cost, modernized legacy services through incremental refactoring, and designed backend architecture and API contracts. I also conduct code reviews, mentor engineers, interview backend candidates, and have served as an acting technical lead.

I delivered backend APIs for production-planning and sales-forecasting workflows at a major international steel producer. The work supported generation of production and sales plans in a production platform.

I designed backend architecture, participated in team code reviews, and integrated application services with Airflow-based ETL pipelines and PySpark data processing.

I developed backend services for mobile payment processing at a major private healthcare network. I improved successful payment throughput and reduced transaction-processing latency through hot-path refactoring and database query optimization.

I built internal Python libraries reused across backend services and delivered production integrations with HL7 medical data standards. I worked with FastAPI, Kafka, RabbitMQ, PostgreSQL, Docker, Prometheus, and Grafana.

I led backend development for a metallurgy computer-vision platform from MVP to industrial deployment. The resulting software was patented by the company.

I reduced database load by 50% through code and query optimization on real-time ingestion paths. I also designed API contracts for MES and other enterprise-system integrations.

I built an ETL backend as a microservices pipeline for processing global weather data. I also delivered a geo-coordinate-based API for accessing weather data.

I optimized server infrastructure load while working with Python, Celery, RabbitMQ, MongoDB, and NumPy.

I delivered backend engineering across multiple client projects, including a logistics platform for tour operators, an AI real-estate recommendation system, and a car-sharing and taxi-aggregator platform.

I built Flask APIs, implemented RabbitMQ and Kafka integrations, used PostgreSQL and PostGIS, and created market-quote ingestion pipelines from the Bloomberg API for a hedge fund using Java and PostgreSQL.

I developed high-load microservices for a virtual assistant supporting payment and money-transfer scenarios at a major retail bank. I designed component architecture and implemented text-search algorithms.

I configured Prometheus and Grafana for production monitoring, led code reviews, and drove unit testing, test-driven development, and load-testing practices across the team.

I optimized the database schema for an e-commerce platform with more than 65,000 unique products, improving page-load and search performance. I also integrated production systems with CRM platforms, accounting software, and payment providers.

I implemented web-scraping and data-analysis pipelines using BeautifulSoup and Selenium. My stack included Django, Django REST Framework, Docker, Celery, Redis, MySQL, and PostgreSQL.

I developed backend functionality for a chatbot platform integrating with Viber, Telegram, and VK. The platform included voice-assistant scenarios.

I contributed Python backend development for messaging-channel integrations and chatbot service capabilities.

Professional Rust Developer program.

AWS fundamentals and cloud-native computing course.

Python developer program.

University education in Finance and Credit.

University education in Law.