Mikhail Kofman

Mikhail Kofman is a fractional CTO with four years of LLM experience, specializing in legacy modernization and AI strategy for enterprise clients.

They build production systems that extract deterministic outcomes from probabilistic AI, architecting multi-agent pipelines with custom AST parsers, consensus mechanisms, and purpose-built evaluation layers. Their engineering discipline shows in everything from versioned prompt libraries to meta-evaluation practices that continuously optimize for ROI.

These capabilities position them to solve problems most teams avoid: large-scale code modernization, AI integration that actually delivers measurable value, and the systematic transformation of how organizations work with AI. They're building frameworks others will eventually adopt.

Their personal site hints at the person behind the systems. Worth exploring.