Résumé

Table of contents

Education

  • 07/2019- 01/2024

    Atlanta, GA, USA
    Ph.D. in Operations Research, minor in Machine Learning
    Georgia Institute of Technology
    H. Milton Stewart School of Industrial and Systems Engineering
    • GPA 4.0
    • Coursework
      • Optimization (Linear, Discrete, Non-Linear, Stochastic and Advanced Combinatorial).
      • Theoretical Statistics, Stochastic Processes I and II, Simulation and its Theory.
      • Machine Learning, Theoretical Reinforcement Learning and Computational Methods.
      • Logistics, Inventory and Constraint Programming.
  • 07/2019-12/2021

    Atlanta, GA, USA
    M.Sc. in Operations Research
    Georgia Institute of Technology
    • GPA 4.0
    Diploma
  • 03/2014-06/2019

    Concepcion, Chile
    B.Sc. in Industrial Civil Engineering
    Universidad de Concepcion
    Bachelor degree in Civil Enegineering (4 years), and a specialization in Industrial Engineering with a focus in Math and Optimization. Thesis done in simulation-optimization for ride-hailing.

    • GPA 6.7/7, rank 1/120, best GPA each year
    • Coursework
      • Traditional engineering + science + optimization and stats classes.
      • Business minor = Innovation, Entrepreneurship, Administration, Human Resources.

Experience

  • 04/2025- Now

    Bellevue, WA, USA
    Applied Scientist II
    Amazon
    Amazon Science, Amazon Fulfillment Technologies
    • Optimization algorithms deployment: led the largest internal project towards pick productivity for Amazon Robotics Fulfillment Centers; collaborated with SDEs to put the new algorithms in production, monitored progress in real time and communicated with stakeholders. Deployed in all fulfillment centers (NA and EU), with savings upwards of 70 million USD per year.
    • Machine learning for optimization speed-ups: innovative usage of ML to reduce the optimization feasible region and improve convergence speed; solver runtime reduced by 45% with no objective degradation.
    • Learning to configure optimization models: main scientist leading a ML-driven project that infers optimal optimization model parameters/configuration for online problems solved in real time; results suggest improvements in resiliency and main KPIs.
  • 01/2024- 03/2025

    Bellevue, WA, USA
    Research Scientist II
    Amazon
    Amazon Science, Amazon Fulfillment Technologies
    • Large-scale online optimization: modeling, invention and implementation of the new generation of large-scale online optimization models for tri-partite assignment problems of work to machines and human associates.
    • Created from scratch the new algorithm that is redefining Amazon's roadmap for the next 5 years in Amazon Robotics fulfillment centers.
  • 05/2023-08/2023

    Seattle, WA, USA
    Research Scientist Intern
    Amazon
    Amazon Science division
    • Created a new large-scale optimization-based algorithm to improve picking efficiency in state-of-the-art robotic warehouses.
  • 09/2022-12/2022

    Edinburgh, Scotland
    Applied Scientist Intern
    Amazon
    • Coded functions to facilitate NLP on team processes.
    • Performed exploration for new ML models to be used as part of my team's products.
  • 05/2022-09/2022

    Sunnyvale, CA, USA
    Applied Scientist Intern, BPR's Advanced Analytics Team
    Apple
    • Created optimization-based analytical tool to reduce inventory levels.
    • Developed methodology that allows different optimization tools to work simultaneously to reduce transportation costs.
  • 2019-2023

    Atlanta, GA, USA
    Research and Teaching Assistant
    Georgia Institute of Technology
    • Research Assistant under different grants.
    • Graduate Teaching Assistant
      • Head TA for masters courses ISyE 6644 (Simulation, Summer 2020, Fall 2020, Spring 2021), ISyE 6203 (Logistics, Spring 2022).
      • TA under ISyE tutoring center for ISyE 3133 (Optimization) and ISyE 2027 (Probability with Applications), Fall and Spring 2019.
  • 01/2019-04/2019

    Santiago, Chile
    Junior Scientist, Inventory Optimization Team
    BHP Billiton
    South American Headquarters
    • Process automation: developed a new automated dashboard in Power BI for supply chain stakeholders (saved 2 days of work a month).
    • Holding inventory improvement: proposed and implemented a new inventory classification system leading to inventory savings of +5 million USD.

Other knowledge and skills

Programming languages
Python Advanced level.
Java Intermediate level.
Git Intermediate level.
R Intermediate level.
C++ Beginner level.
C Beginner level.
HTML Beginner level.
Software
NumPy Advanced level.
SkLearn Advanced level.
Simio Advanced level.
Excel Advanced level.
Gurobi Advanced level.
Xpress Advanced level.
Claude Advanced level.
PyTorch Intermediate level.
AutoGluon Intermediate level.
Antigravity Intermediate level.
Amazon-Q Intermediate level.
Cplex Intermediate level.
Document composition
LaTeX Advanced level.
Word Advanced level.
Power Point Advanced level.
Keynote Advanced level.
Languages
Spanish Native.
French Almost native.
English Advanced level.
Portuguese Intermediate level.

Honors and Awards

  • Research-related
    • Amazon Fulfillment Technologies Innovation Maven Award (one awardee per year), 2024.
    • Given a NSF Travel award for the TSL Conference 2023.
    • Best student applied paper [winner], WSC 2022, "A Simulation-Optimization Framework To Improve The Organ Transplantation Offering System".
    • Diversity award fellowship, WSC 2022.
    • Top 3 short research video at the YinzOR conference 2021 CMU, "Submodular Dispatching".
  • Academic and competitions
    • Amazon AWS AI & ML Scholarship Recipient 2023.
    • Stewart Fellowship in Georgia Tech
    • University of Concepcion Prize (Class 2014 Industrial Civil Engineering). This award is given by the university to the most deserving student (if any) of the respective class.
    • First place of the "2019 University of Concepcion Programming Tournament" under the "Non-Computer Science" major category.
    • Best GPA class 2014 of Industrial Civil Engineering in years 2014, 2015, 2016, 2017, 2018, 2019.
    • Leader of World Finalist Teams for Simio Simulation Competition (Fall 2016, Spring 2017).
    • Highest Recognition "Très Bien" in French Baccalauréat (2013), maximum scores in Mathematics, Physics and Chemistry.