
I'm Francisco Zenteno Smith. I transform legacy systems into production-grade decision-support software — bridging operations research rigor with software engineering discipline.
With a decade of experience applying operations research across airlines, retail, mining, cargo, and healthcare, I bridge two disciplines that are too often kept separate: mathematical optimization and software engineering. I'm equally effective as the deepest individual contributor on a hard problem or directing a team of engineers to deliver an end-to-end system.
At American Airlines, I build large-scale optimization systems that power flight operations — designed and shipped with the same engineering rigor as any production software, not treated as one-off research code.
I hold dual master's degrees in Computer Science (UC San Diego) and Industrial Engineering (Pontificia Universidad Católica de Chile), and created SEFOP, an open-source framework for bringing software-engineering discipline to optimization programs. In 2026, I spoke at the Agentic Quality Summit in Atlanta on bridging operations research and production-grade engineering.
A framework for building optimization systems the way you'd build any production software: Clean Architecture, dependency injection, full test coverage, and CI/CD — not throwaway research scripts. Includes reference implementations across languages and a live, deployed demo.
See the full breakdown →Led the year-long refactor of a legacy decision-support system, cutting technical debt 67% by teaching the team software-engineering principles.
Built a simulated-annealing metaheuristic that shipped a monthly cashier-scheduling system to production for 350 stores — without commercial optimization software.
Designed a multi-objective staff-planning model reused across 20+ consultancies for enterprise clients.