FPCs Portifolio

Hey, I'm Felipe Papa Capalbo.

I'm a Production Engineer specialized in data analysis and pragmatic problem-solving, with expertise in Digital Twin applications, simulation, and optimization of manufacturing and logistics processes. I regularly employ predictive and explanatory data analytics, leveraging machine learning and advanced statistical methods to achieve impactful results.

Check out my projects

My Background / About Me

I'm a Production Engineer working with optimization algorithms, exact optimization methods, and data-driven solutions applied to complex industrial and logistics problems.

My background also includes prototype development with IoT, data integration (SQL/NoSQL), and an ongoing pursuit of a Master's in Production Engineering at UFSCar. I'm passionate about leveraging technology to solve real-world problems, whether in manufacturing, logistics, or new product development.

My Work / Projects

Mercado Livre (SBPO 2025)

The implementation was designed to develop an algorithm capable of solving instances of various sizes within a 10-minute time limit.

GitHub Repo

Autonomous Digital Twin Protocol

Final paper integrating Reinforcement Learning (PPO) and Discrete Event Simulation for cotton blending in textile spinning. Addresses uncertainties in fiber properties, real-time data, and logistics to optimize yarn quality and reduce production costs.

Final Paper

ENEGEP Article

Diet Solver

An interactive Python program that generates personalized meal plans to hit daily macro goals (protein, carbs, and fats) while respecting caloric and portion constraints. Uses integer linear programming (pulp) to deliver up to 5 solutions with minimal deviation.

Brazilian E-commerce Analysis

A research project using the Olist dataset (Kaggle) to identify key variables, formulate hypotheses, and plan advanced statistical analyses for real Brazilian e-commerce data. Explores customer behavior, logistics, and more.