Summary
Lev Selector is a seasoned AI architect and data science leader based in New York with eight years of hands-on experience delivering AI-powered data platforms for enterprise systems. He currently steers custom private conversational interfaces and retrieval-augmented generation at Enterprise AI Solutions, turning data silos into searchable, self-verifying knowledge. His career spans CTO and head of ML roles, leading data architecture, cloud pipelines, and large-scale analytics across finance, publishing, and consulting firms, including National Debt Relief, AppNexus, J.P. Morgan, and Penguin Random House. An academic at heart, he holds a Ph.D. in Mathematical Modelling and Biophysics from MIPT, blending rigorous theory with pragmatic production engineering—LLMs, vector databases, embeddings, quantization, fine-tuning, and prompt engineering. Lev is a founder who co-led BixBeta, and he brings a track record of shaping teams, delivering scalable AI solutions, and educating others in deep learning and AI practices.
9 years of coding experience
23 years of employment as a software developer
Specialized Mathematical School No. 2, Moscow, USSR
Moscow Institute of Physics and Technology (State University) (MIPT)
English, Russian