Dmitri
Lead systems engineer with more than 20 years experience in IT:
- 3 years in AI-based solutions development;
- 8 years of S-SDLC methodology implementation;
- 7 years of security architecture development;
- 4 years Experience in the development of the scalabale solution for the non-functional testing using private clouds AWS based APIs
- solid knowledge of building secure and resilient architectures in multi-cloud environments
- 9 years of experience in consulting services for the external and internal EPAM accounts
- 6 years of experience in project and team management
- 8 years of experience in solutions architectures development and deployment
- 10 years security concepts and tests development including regular security audits
- 8 years of experience of developing and deploying Continuous Delivery and Continuous Integration concepts
- Experience in processes development
- 10 years developing and deploying Unix/Linux based infrastructures
Session
As AI agents evolve from simple chatbots to complex multi-agent systems utilizing Model Context Protocol (MCP), manual validation becomes impossible. During this talk, I will demonstrate the process of architecting a quality assurance loop for these solutions. No theoretical fluff: I will focus on the practical analysis of automated pipeline results, interpreting Langfuse reports for cost and performance, and ensuring reliability from an AI Architect/System Engineer perspective.