Павел Комар

Optimized document loading speed in RAG, reducing average processing time by 50% and enabling the platform to handle ~200k documents per week. Developed a flexible background process scaling system and launched a unified MCP Gateway service, achieving 5x faster performance and an 86% reduction in support tickets.

Improved Jupyter Notebook responsiveness by 16.5x through a two-container architecture and introduced private Jupyter Notebooks, driving a 35% increase in active sessions. Enhanced provisioning reliability with Temporal orchestration, reducing incident rates by 80-90%.

Designed and deployed a high-throughput transaction processor handling 1.5k RPS with full ACID integrity and sub-50ms p99 latency. Migrated business logic from database triggers to services, improving database performance by 30%, and moved document post-processing to serverless architecture, cutting infrastructure costs by 40%.

Developed an analytics platform using Django for tracking and analyzing medical research data, enabling processing of 50k+ records and reducing report generation time by up to 60%. Built a lodging reservation management system supporting over 10,000 monthly bookings and an internal task management system.

Bachelor’s Degree in Engineering Management from Belarusian State University, completed in July 2022.