Applied Operations Research & Software Engineering

Decision-support systems with professional engineering standards

I'm Francisco Zenteno Smith, an operations research scientist with a decade of experience. I can:

  • Deliver end-to-end decision-support software.
  • Modernize legacy systems into production-grade platforms.
  • Lead and train data scientists to build systems with professional engineering standards.

To deliver on all three, I created SEFOP, the Software Engineering Framework for Optimization Programs.

Francisco Zenteno Smith
About me

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. My focus isn't proving a model works once — it's building it to run in production, day after day, the way any serious piece of software should.

At American Airlines, I build large-scale optimization systems that power flight operations, held to the same engineering standards as any other production software.

I hold dual master's degrees in Computer Science (UC San Diego) and Industrial Engineering (Pontificia Universidad Católica de Chile). I also created SEFOP, an open-source framework for bringing software-engineering discipline to optimization programs, and in 2026 spoke at the Agentic Quality Summit in Atlanta on how agentic development is reshaping how decision-support software gets built.

Operations Research Clean Architecture Optimization MIP / Metaheuristics Python · Java · C#
Open Source

SEFOP — Software Engineering Framework for Optimization

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 →
Experience

Where the work has happened

2024 — Present
Senior Operations Research Scientist
American Airlines

Led the year-long refactor of a legacy decision-support system, cutting technical debt 67% by teaching the team software-engineering principles.

2017 — 2020
Senior Data Scientist
SMU

Built a simulated-annealing metaheuristic that shipped a monthly cashier-scheduling system to production for 350 stores — without commercial optimization software.

2013 — 2016
Data Scientist
Shift Workforce Management

Designed a multi-objective staff-planning model reused across 20+ consultancies for enterprise clients.

Let's talk

The fastest way to reach me is LinkedIn.