Summary
Daniel Reznikov is a seasoned data science and machine learning engineering leader based in San Francisco, currently directing Data Science and ML Engineering at Bain & Company. With a decade of experience spanning software development, data engineering, and ML, he consistently turns complex requirements into scalable, production-ready systems. At Stovell AI Systems, he led high-impact, revenue-bearing projects and redesigned an on-prem ML system as a SaaS product that generated $10M+ ARR across multiple customers, applying timeseries forecasting and transformers/LSTMs to price elasticity and competitive response, while owning ML-Ops end-to-end. Earlier at Migo, he architected microservices for ML models, built robust training pipelines, and shaped Snowflake-based data warehouses to support data scientists, along with defining hiring practices, R&D workflows, and engineering best practices. He holds advanced CS credentials from UC San Diego and foundational studies at Technion, grounding his leadership with a strong technical and global perspective.
11 years of coding experience
9 years of employment as a software developer
Computer Science & Electrical Engineering, Computer Science & Electrical Engineering at Technion - Israel Institute of Technology
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at University of California San Diego
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of California, San Diego
Russian, Spanish