My name is Renato, and I'm an M.Sc. Student in Operations Research at 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!
🎓 Master of Science in Operations Research — Georgia Tech (Aug 2023 – 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 (Max Honors) — San Sebastian University (Chile)
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.
- TheRobotarium (Georgia Tech) – 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. (2024 – Present)
👉 You can also visit the Robotarium website and check out experiments on their YouTube channel. - Connected Autonomous Vehicle Intersection Control (Special Problems in ISyE) – Optimizing intersection control algorithms for connected and autonomous vehicles under Dr. Kleywegt (2024 – Present).
- Vehicle Routing Problems (FONDECYT, Chile) – Modeling and exact algorithms for VRPs with transshipment and extensions (2022 – 2023).
- Optimization Intern at Arauco (Chile) – Developed a Mixed-Integer Linear Programming (MILP) model to optimize production lines for the MAPA Project, the world’s largest eucalyptus pulp initiative, to optimize production lines and wood yard operations, simulate multiple production-rate scenarios, analyze KPIs, and automate a previously manual process to a fully automatic decision making process.
- A Mixed-Integer Programming Model for an Integrated Production Planning Problem with Preventive Maintenance in the Pulp and Paper Industry
Engineering Optimization, 55(8), 1352–1369
DOI Link
- Programming Languages: Python, OOP (Object-Oriented Programming), C, CUDA, MATLAB
- Optimization Solvers: Gurobi, CPLEX, PuLP, ILOG CPLEX (Constraint Programming), OptQuest add in (Simio)
- Data Science & Analysis: SQL, Python (Pandas, NumPy, Scikit-learn, SciPy), R programming
- Software & Tools: Docker, Git, Simio, LaTeX, Microsoft Office, Power BI, ArcGIS
- Languages: Spanish (Native), English (TOEFL, Upper Advanced English at Georgia Tech Language Institute)
This repository is not just a collection of projects but a platform to contribute to the OR community, collaborate, and learn together. I’m especially interested in Operations Research, Algorithmic Optimization, Autonomous Systems, and Simulation.
Whether you're a fellow student, researcher, or professional interested in Operations Research, I would love to connect! Feel free to reach out:
- 📧 Email: [email protected]
- 💼 LinkedIn: linkedin.com/in/renatomaynardetche
- 🌐 GitHub: github.com/RenatoMaynard