Résumé

Ph.D. in Operations Research, minor in Machine Learning

• 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.

M.Sc. in Operations Research

• GPA 4.0

B.Sc. in Industrial Civil Engineering

• 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.

Research Scientist II

• Innovation on optimization algorithms for robotic warehouses.
• Worked on the deployment of new optimization methods network-wide for state-of-the-art warehouses.

Research Scientist Intern

• Created a new large-scale optimization-based algorithm to improve picking efficiency in state-of-the-art robotic warehouses.

Applied Scientist Intern

• Coded functions to facilitate NLP on team processes.
• Performed exploration for new ML models to be used as part of my team's products.

Operations Research Scientist Intern

• Created optimization-based analytical tool to reduce inventory levels.
• Developed methodology that allows different optimization tools to work simultaneously to reduce transportation costs.

Research and Teaching Assistant

• 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.

Inventory Optimization Intern