At Plavno, I contributed to an AI-powered auscultation SDK, working on audio classification pipelines, ML model integration, and FastAPI-based inference services.
I also developed and debugged Python microservices, integrated external APIs, and worked on RSS parsing and event-driven workflows using RabbitMQ. I improved a job application automation agent using Playwright and LangGraph, and implemented automated tests across unit, integration, and end-to-end workflows.
At UIIP NAS Belarus, Department of Intelligent Services, I worked on bird sound classification, optimizing audio preprocessing pipelines and evaluating deep learning models. I also conducted experiments to improve classification quality through preprocessing and model tuning.
I hold bachelor’s and master’s degrees in Computer Science from Belarusian State University. My thesis focused on deep learning methods for video classification, and I’ve also taught languages and technologies for data analysis at BSU Institute for Professional Development and Retraining.
