Summary
Ilya Mirin is a Staff LLM and AI Systems Engineer with 13 years of experience building production-grade AI, automation, and financial systems, currently focused on coding-agent workflows, GenAI orchestration, and human-in-the-loop controls. He specializes in token-efficient AI ecosystems—optimizing prompts, context, model routing, and eval loops—to reduce LLM spend while improving measurable quality and delivery velocity. At Wildberries he shipped durable internal assistants, autocoding pipelines, and cost-saving inference strategies that cut token consumption ~20%, and previously scaled generation and orchestration platforms at Tonya AI. His background spans low-level infrastructure, distributed storage, and fintech-grade systems design, which he leverages to make AI systems observable, auditable, and production-safe. Comfortable with Python, Rust, and Solidity, he combines hands-on engineering with a track record of turning fragile experiments into repeatable workflows that real teams use daily.
13 years of coding experience
8 years of employment as a software developer
Специалист, Applied Informatics in Economics, 4.2, Специалист, Applied Informatics in Economics, 4.2 at Дальневосточный Государственный Технический Университет / Far Eastern State Technical University
Русский, English