Madi Zhanbyrtayev

Optimized a 25+ stage AI/ML document-processing pipeline by parallelizing execution and decoupling services into event-driven components, cutting processing time by 30%. Re-architected pipeline orchestration to a fully event-driven system, reducing core API latencies by 85% and adding centralized monitoring.

Delivered LLM applications, microservices, and cloud modernization across 4 client projects. Built a production multi-agent LLM QA system with RAG and custom MCP server, and led a team of 3 engineers to ship a microservices backend for a streaming app.

Built and scaled a Django full-stack LMS from several hundred to 20,000 users, owning course delivery, user management, and progress tracking. Developed a full-stack B2C cross-border logistics platform with automated customs document generation, growing to 3,000 users and 2,500 monthly shipments.

Conducted MSc thesis research on associating mobile devices to individuals based on motion event identification, designing ML algorithms for sensor data analysis.

Earned the Claude Certified Architect – Foundations certification from Anthropic in 2026.

Earned the Claude Certified Architect – Professional certification from Anthropic in 2026.

Completed a Master of Science in Computing Science at the University of Alberta from 2017 to 2020.

Completed a Bachelor of Science in Computer Science at Nazarbayev University from 2013 to 2017.