Victor Terpstra is a Solution Architect and Decision Optimization specialist with over two decades of international experience delivering AI- and optimization-driven automation for industrial-scale systems. He founded AI Engineering for a national market and has led specialist teams, combining hands-on deployment of decision optimization in production with strategic technical sales and client discovery. His track record spans supply-chain, scheduling, routing, and stochastic staffing solutions for clients across electronics, pharmaceuticals, airlines, oil & gas, and utilities, and includes authoring two open-source Python libraries plus a reusable supply chain package in production. Victor pairs a PhD-level academic background in optimization, control and AI with deep systems design and programming experience, enabling rapid, cost-effective solutions for complex problems. Known for building repeatable assets, demos, training and enablement, he operates as a trusted advisor who translates research-grade methods into business value. Based in Greater Boston, he brings a rare blend of theoretical depth and practical delivery across both consultancy and enterprise engineering roles.
A Python package with various utilities that speed-up development of Decision Optimization projects in Watson Studio. Implements common tasks and provides best-practice guidelines to architect DO projects.
Contributions:217 commits in 3 years 6 months
watsonbest-practicepythonspeeddecision
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