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RenatoMaynard/README.md

๐Ÿ‘‹ Hi there, I'm Renato!


Profile views

When I code, I rely on

Python R C C++ MATLAB Jupyter Notebook NumPy Pandas Matplotlib SciPy Scikit-Learn PyTorch SQL Simio Git Docker Power BI


About Me

Hi, I'm Renato โ€” I hold an M.Sc. in Operations Research from the Georgia Institute of Technology. I'm captivated by the power of mathematical modeling and algorithmic optimization to solve complex real-world problems. Welcome to my GitHub repository!

Academic Background

  • Master of Science in Operations Research โ€” Georgia Institute of Technology (Aug 2023 โ€“ May 2025)
    Coursework: Linear Optimization, Non-linear Optimization, Discrete Optimization, Deterministic Optimization, Constraint Programming, Computational Methods in Optimization, Simulation, Stochastic Processes I, Probabilistic Models and Their Applications, Statistical Modeling and Regression Analysis, Machine Learning, Transportation Systems Analysis, Mathematics in Operations Research.

  • B.Sc. in Industrial Engineering with Highest Distinction โ€” San Sebastian University, Chile (Mar 2018 - Mar 2023)


What Youโ€™ll Find Here

In this space, I share my academic projects, research models, and personal explorations focused primarily on Operations Research, Optimization, and Simulation.
I believe in open knowledge and aim to make my work accessible and useful to anyone interested in these areas.

Most of my Python codes are presented in Jupyter Notebook format, as I find it the best way to maintain clarity, structure, and readability.


Research Experience

  • Connected Autonomous Vehicle Intersection Control (Special Problems in ISyE) (2024 โ€“ Present) โ€” Optimizing intersection control algorithms for connected and autonomous vehicles under Dr. Kleywegt.

  • TheRobotarium (Georgia Tech) (Aug 2024 โ€“ Aug 2026) โ€” Assisted with the development of The Robotarium, an open-source swarm robotics research platform, by creating comprehensive guides and example code to enable remote deployment and control of multi-robot systems.
    You can also visit the Robotarium website and check out experiments on their YouTube channel.

  • Vehicle Routing Problems (FONDECYT, Chile) (2022 โ€“ 2023) โ€” Modeling and exact algorithms for VRPs with transshipment and extensions.


Work Experience

  • Operations Research Consultant โ€” OMP USA (Atlanta, GA) (Jan 2026 โ€“ Present)
    Working on optimization-driven supply chain planning and decision-support projects, bridging mathematical modeling with production-ready analytics.

  • IT Intern โ€” Arauco North America (Atlanta, GA) (Jun 2025 โ€“ Dec 2025)
    Developed optimization and AI solutions for industrial operations, including scheduling automation and edge computer-vision safety systems.

  • Optimization Intern โ€” Arauco (Arauco, Chile) (Mar 2021 โ€“ Aug 2021)
    Developed a Mixed-Integer Linear Programming (MILP) model to optimize production lines for the MAPA Project, the worldโ€™s largest eucalyptus pulp initiative; optimized production lines and wood yard operations, simulated multiple production-rate scenarios, analyzed KPIs, and automated a previously manual process into a fully automatic decision-making workflow.


Publications

  • A Mixed-Integer Programming Model for an Integrated Production Planning Problem with Preventive Maintenance in the Pulp and Paper Industry
    Engineering Optimization, 55(8), 1352โ€“1369
    DOI Link

Tools & Technologies

  • Programming Languages: Python, OOP (Object-Oriented Programming), C++, C, CUDA, MATLAB
  • Optimization Solvers: Gurobi, IBM CPLEX, PuLP, Google OR-Tools(CP-SAT, Routing), IBM ILOG CPLEX CP Optimizer, OptQuest (Simio)
  • Data Science & Analysis: SQL; Python (Pandas, NumPy, scikit-learn, PyTorch, SciPy, Matplotlib); R; Lucidchart
  • Software & Tools: Docker, Git/GitHub, Linux, Simio, LaTeX, Power BI, AutoCAD
  • Edge AI & Computer Vision: NVIDIA Jetson (Nano NX, JetPack), CUDA, TensorRT, OpenCV, GStreamer/RTSP, DeepStream, ONNX
  • Language: Spanish (Native), English (TOEFL, Upper Advanced English at Georgia Tech Language Institute)

Objectives

This repository is not just a collection of projects but a platform to contribute to the OR community, collaborate, and learn together. Iโ€™m especially interested in Operations Research, Algorithmic Optimization, Autonomous Systems, and Simulation.


Let's Connect!

Whether you're a fellow student, researcher, or professional interested in Operations Research, I would love to connect! Feel free to reach out:


Thank you for stopping by! Enjoy exploring!

Pinned Loading

  1. Smart-Video-Record-Deepstream-in-Python Smart-Video-Record-Deepstream-in-Python Public

    Guide to set up DeepStream pyds and run an RTSP pipeline in Python. Note: NVIDIA Smart Recording isnโ€™t in official Python bindings and is supported only in C++. This repo includes a compatible wheeโ€ฆ

    C++ 2

  2. TSP-models-and-Algorithms TSP-models-and-Algorithms Public

    Traveling Salesman Problem DFJ MTZ GG formulations

    Jupyter Notebook 31 2

  3. Routing-Problems-using-Google-Maps Routing-Problems-using-Google-Maps Public

    Optimal routing and delivery solutions using Google Maps and Python.

    Jupyter Notebook 23

  4. A-mixed-integer-programming-model-for-production-planning A-mixed-integer-programming-model-for-production-planning Public

    A mixed-integer programming model for an integrated production planning problem with preventive maintenance in the pulp and paper industry

    Jupyter Notebook 20

  5. Gurobi-Sensitivity-Analysis Gurobi-Sensitivity-Analysis Public

    Linear Programming model for Production Planning with full Sensitivity Analysis, including shadow prices, reduced costs, and resource bounds.

    Jupyter Notebook 19

  6. Gurobi-Mip-Bounds-Tracking Gurobi-Mip-Bounds-Tracking Public

    A Gurobi implementation that tracks upper and lower bounds for any Mixed-Integer Programming (MIP) problem using callbacks. Includes visualization with Matplotlib.

    Jupyter Notebook 19