At Street Falcon, I build and maintain Python and async Rust services for a computer-vision platform processing 15M+ image recognitions per day. I migrated performance-critical ingestion components from Python to Rust, improving stability and reducing the number of consumers required at peak load.
At NLMK Group, I led backend development of a real-time industrial computer-vision platform from MVP to production deployment. I reduced server and database cluster load by 50% through code and query optimization.
At Medsi, I launched in-app payments, which came to account for 30% of company payments. I also reduced transaction-processing latency and developed production integrations using the HL7 medical-data standard.
I contributed three merged PRs to OpenTelemetry Python Contrib, including a FastAPI instrumentation memory-leak fix. My production work spans APIs, ingestion pipelines, and event-driven services, with Python and Rust at its core.
