David Weik is a Senior AI Engineer with 11 years’ experience building governed, production-ready ML and data solutions in the insurance and analytics space, currently driving agentic-first product insights at SAS R&D. He specializes in moving models from sandbox to business impact—focusing on model delivery, integration, and pragmatic governance that balances GDPR, ethics and stakeholder needs. His background spans data warehouse engineering, ETL, solution architecture and cross-functional collaboration with actuaries, IT and data protection officers to produce auditable, fair decisioning systems. Pragmatic and detail-oriented, he favors white-box models and platform-driven controls to reduce bias and operational risk while accelerating time-to-value. Outside work he codes, keeps learning, and enjoys a good cup of tea.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Wirtschaftsinformatik, Bachelor of Science (B.Sc.), Wirtschaftsinformatik at Baden-Wuerttemberg Cooperative State University (DHBW)
Repository to share SAS Studio Custom Steps. A custom step enables you to create a user interface for SAS Studio users at your site to complete a specific task.
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