Summary
Lev Selector is an AI architect and data science veteran with nine years of focused experience leading AI, ML, and data engineering initiatives across startups and enterprise clients from New York. He builds production-grade AI architectures and agents for SaaS—combining hands-on Rust and Python development with cloud data pipelines, RAG, and AI-enabled ETL for complex formats like Excel. As a former CTO/co-founder and practice lead, he blends product-level generative AI work (natural language interfaces, crypto accounting) with rigorous audit and compliance know-how from consulting engagements. His background spans building and scaling analytics platforms, leading teams, and migrating legacy finance systems to modern cloud and ML stacks. Trained as a PhD in mathematical modeling, he brings deep numerical and simulation instincts to pragmatic AI system design, often instrumenting solutions for performance and reliability.
9 years of coding experience
23 years of employment as a software developer
Specialized Mathematical School No. 2, Moscow, USSR
Ph.D., Mathematical Modelling, Computer Simulations, Biophysics, Ph.D., Mathematical Modelling, Computer Simulations, Biophysics at Moscow Institute of Physics and Technology (State University) (MIPT)
English, Russian