The people
behind the layer.

ML engineer

An independent AI researcher and a member of the Bulgarian National Team at the International Olympiad in Artificial Intelligence (IOAI). With a background in AI research, machine learning, and software engineering, he is one of the core engineers and architectural designers behind Agent Native Layer (ANL). He contributes to the system's architecture, core implementation, and performance optimization, focusing on building efficient, scalable, and reliable infrastructure for AI agents.

ML engineer

Kaloyan Kalinov is a member of the Bulgarian National Team at the International Olympiad in Artificial Intelligence (IOAI). With a background in machine learning and AI engineering, he contributes to the architectural design and development of Agent Native Layer (ANL). His work focuses on optimizing system pipelines, improving performance and efficiency, and building scalable infrastructure for reliable AI agent execution.

Business and presentation

The business lead behind Agent Native Layer (ANL), with a background in designing AI automations for B2B agencies. On ANL he owns the commercial side: the business case, the value proposition, the subscription-plus-usage model, and customer discovery with mentors and operators. He also built the pitch that connects what the system does to what a business gains. Outside ANL, he’s building Aevo, an adaptive training app inspired by his interest in triathlons.

Business & Design

Focused on the business strategy and product design of the project, turning a complex technical solution into a clear and valuable product. Responsible for identifying business opportunities, shaping the user experience, and defining how the solution can create real value for companies. Passionate about sports and writing.