Peter is an Operations Research specialist who builds optimization systems for problems that are too large or too complex for off-the-shelf solvers. With an M.Sc. in Mathematics specializing in Optimization and more than 11 years of experience, his mission is solving optimization problems that standard solvers can’t handle.
Peter spent six years at DHL developing high-performance algorithms for supply chain and routing — from a $1B+ simulation model of the global airfreight network to last-mile delivery optimization that achieved 8% cost savings through custom algorithms. The pattern he sees repeatedly is companies buying expensive optimization software that doesn’t deliver: generic solvers too slow for production, or solution quality that isn’t good enough. His approach is to analyze the mathematical structure of a problem, exploit its problem-specific properties, and develop production-ready solutions with measurable results.
Competences
- Mathematical optimization for routing, scheduling, production planning, and workforce allocation.
- Deep AI and Operations Research expertise, turning proofs of concept into robust, production-ready code.
- Custom high-performance algorithms for large-scale supply-chain and routing problems.
- Translating complex model behaviour into terms non-technical stakeholders can use for decisions.
- Structured, transparent, collaborative delivery, including upskilling client teams along the way.