- Database query optimization- Building API for high-load project- Implementing reporting for large volume of distributed data- Building functionality for AI powered recommendation system- Automation of processing out of stock items

- Conducted technical interviews and code reviews- Implementation of cloud based invoice reporting- Built object storage system with "like S3" functionality- Integration of custom script that connects NATS with Kafka

- Collaboration with international team in SCRUM environment - Building media processing functionality that is later served for millions of user- Automation of API refactoring logic which consisted of individual checks- Implementation of gRPC API that allowed to ingest hundred thousands items

- Expanded user's analytics logic for financial project- Implementation of microservice backend system which recommends proper nutrition's based on user responses and other data- Worked with highly related (graph-like) data in Relational database

- Built from zero 5 different backend API's- Implemented CI/CD pipelines for backend and fronted- Managed containers using Docker Swarm for WebRTC system- Pitched architecture and technical decisions on many projects- Refactored legacy project from JS to TS- Optimized PostgreSQL queries and codebase