Roman B.

Roman B. is an accomplished AI & Full Stack Engineer with over nine years of experience, expertly navigating the evolution from distributed systems and microservices to advanced LLM-centric, agent-based AI architectures. His specialty lies in designing robust conversational AI systems, including AI agents, voice interfaces, and RAG pipelines. Roman has a proven track record of building MCP-driven control planes for scalable AI infrastructures in cloud environments. Notably, at LingoOwl, he architected multi-agent orchestration layers that revolutionized platform automation, introducing autonomous goal-seeking agents and reducing post-editing requirements significantly. While at Trigent Software, he developed linguistic reasoning agents capable of cultural nuance adaptation. Roman's contributions include designing conversational AI that integrates LLM reasoning for enterprise workflows and orchestrating complex AI architectures with various agents for dynamic task execution. His technical prowess extends to programming languages such as Python and TypeScript, and domain expertise in AI & Machine Learning, including LangChain and OpenAI. With a solid educational foundation from Charles University, Roman continuously delivers explainable, cost-efficient AI systems.