Summary
Dmitry Villevald is a Specialist Leader with 10+ years blending machine learning, generative AI and regulatory compliance to build scalable, auditable GenAI and risk models for global financial institutions. He has led cross-functional teams at UBS and Discover to modernize entity-matching and AML screening, reduce validation issues and cut compliance costs while delivering production-ready LLM modules for KYC automation. Comfortable translating regulatory requirements into technical strategy, he has a track record of resolving consent orders and MRAs through pragmatic remediation and stakeholder alignment. Dmitry’s background spans quantitative research, ML engineering and an MBA in finance, enabling him to bridge model risk, product and business priorities. Based in Downers Grove, IL, he combines deep technical craft—ML, reproducibility and safety—with an unusual focus on operationalizing governance to drive measurable efficiency gains.
10 years of coding experience
9 years of employment as a software developer
Self-Driving Car Engineer Nanodegree Machine Learning Computer Vision Deep Learning Probabilistic Robotics, Self-Driving Car Engineer Nanodegree Machine Learning Computer Vision Deep Learning Probabilistic Robotics at Udacity
Master of Business Administration (M.B.A.) Finance, Master of Business Administration (M.B.A.) Finance at Vanderbilt University - Owen Graduate School of Management
CFA Charterholder from 2008 to 2014, CFA Charterholder from 2008 to 2014 at CFA Institute
Master's degree Computer Science, Master's degree Computer Science at University of Illinois Urbana-Champaign
Master's Degree Physics, Master's Degree Physics at Novosibirsk State University (NSU)
Russian, English