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working hard or hardly working?
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working hard or hardly working?
  • Monterrey, México
  • 20:49 (UTC -06:00)

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@ampl

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eduardosalaz/README.md

Hi, I'm Eduardo

Operations researcher and optimization engineer. I build mathematical models for a wide variety of problems.

Right now I'm a Technical Account Manager at AMPL Optimization, where I help teams model and solve large-scale optimization problems, and an Optimization Consultant at Bravos Power, working on day-ahead market models for North American power systems, with some work on our own modelling language package: Pyoframe. I also serve as a Vocal on the board of the Mexican Society for Operations Research (SMIO, 2025–2027).

What I work on

My day-to-day sits at the intersection of mathematical programming and practical engineering: mixed-integer and nonlinear modeling, decomposition methods (column generation, Dantzig–Wolfe, branch-and-price), and reformulation techniques that sidestep Big-M and other modeling traps. Most of this happens in AMPL and amplpy, though I've spent plenty of time in Julia (JuMP) and with solvers like Gurobi, HiGHS, CPLEX, Knitro. I also have experience working with metaheuristics and efficient algorithmic design.

The domains I keep coming back to are energy markets, power systems, territorial design, bilevel problems, location science problems: problems where the structure is rich enough to reward careful formulation. I am attracted to interesting, hard problems, with a preference for applied optimization across any and all domains.

Research

Earlier research includes a matheuristic for territorial design applied to microfinance institutions (with Roger Z. Ríos-Mercado and Diana Huerta-Muñoz), plus undergraduate work on p-median problems, GRASP metaheuristics, and large-scale routing. My undergraduate thesis received the SMIO Best Undergraduate Thesis Award. I have attended several different conferences, national and international, but the one I am most fond of is the Mixed Integer Programming Workshop South America 2025 in Viña del Mar, Chile.

Background

I studied Software Engineering at FIME, UANL, and have industry experience from Prolec GE (power systems and transformer manufacturing) and PepsiCo (revenue management: pricing and promotions). I also have a Diploma in Energy Economics from ITAM.

Let's talk

I'm always open to collaborating on optimization-heavy work: modeling, decomposition, energy systems, or research. The best problems are the ones that don't fit neatly into a linear model.

Pinned Loading

  1. tesis tesis Public

    path to performance

    Julia 7

  2. microcontroladores microcontroladores Public

    trabajos de microcontroladores programables (AVR ATMEGA328p)

    C 1

  3. lstm_covid_nl lstm_covid_nl Public archive

    LSTM para predecir casos de covid19 en Nuevo León, dataset viejo

    Jupyter Notebook

  4. epio epio Public

    Curso de Julia para la IV Escuela de Primavera de Investigación de Operaciones

    Julia 2

  5. Bravos-Power/pyoframe Bravos-Power/pyoframe Public

    Rapidly formulate huge optimization models

    Python 24 6

  6. ampl/colab.ampl.com ampl/colab.ampl.com Public

    AMPL Model Colaboratory

    Jupyter Notebook 31 13