I've built scalable Python backend systems at EPAM Systems, Making Science Sweeft, and Quantori Georgia, with more than six years of experience across REST APIs, microservices, and real-time data processing.
At EPAM Systems, I architected high-throughput backend features and led technical discussions, solution design, sprint planning, and code reviews focused on reliability, performance, clean architecture, testing, and API documentation.
At Making Science Sweeft, I developed Django APIs for high-traffic applications, built third-party integrations and asynchronous background jobs, and containerized microservices for automated CI/CD deployments. I also engineered web-scraping and real-time extraction solutions for e-commerce analytics.
I've mentored students in Python and Django, and I developed an urban traffic optimization system using AWS, Google Routes API, LightGBM, DQN controllers, and SUMO simulations to reduce average waiting times by up to 33.6%.

