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“ The noblest pleasure is the joy of understanding. ”
Discover my journey and passion for engineering and technology
Computer Engineer with solid experience in data engineering, data science, software development, and systems integration. Experienced in designing and integrating APIs, building integration solutions with MuleSoft, architecting data pipelines, and developing machine learning models. Strong background in projects involving Python, SQL, Tableau, C, and embedded systems, complemented by applied research in robotics and genetic algorithms. Seeking to leverage my expertise in data engineering, artificial intelligence, systems integration, and software development to solve complex, real-world challenges.
Computer Engineering - Federal University of Espírito Santo
Civil Engineering - Federal Institute of Espírito Santo
CCAA
My professional journey and contributions across different companies
Built predictive models in Python (scikit-learn, PyTorch) to forecast customer metrics andautomate workflows. Developed system integrations through REST APIs and built MCP Servers using MuleSoft. Designed and architected scalable data pipelines integrating multiple data sources using Pentaho and Python. Created interactive Tableau dashboards for sales and performance monitoring.
Developed WebSocket control system for upper-limb exoskeleton (post-stroke rehabilitation). Created interactive GUIs using PyQt for sensor-actuator integration. Implemented Firebase database for data storage and synchronization. Designed serious games in Pygame for patient engagement (clinically validated).
My research journey, experiences, and published work
Developed immersive VR environment (Unity/C#) for robotic prosthesis training. Implemented embedded C firmware for volitional control systems. Processed real-time EMG signals for biofeedback applications
Designed optimization framework using Genetic Algorithms (Python). Developed embedded C firmware for real-time prosthesis control. Implemented EMG signal processing for control decisions.
International Conference on Advanced Robotics - San Juan, Argentina
IEEE International Conference on Neural Engineering - San Diego, California
Professional credentials and verified expertise
Some of my most recent and impactful work
Analysis of Electromyography (EMG) signals and other motion sensors to predict gait parameters to apply to the control of lower limb prostheses. The project includes several processing and machine learning techniques to filter and extract meaningful features from the signals, and then use these features to predict gait parameters.
End-to-end data engineering pipeline using Apache Airflow to monitor air quality across 10 Brazilian capitals, with AQI calculation and anomaly detection.
Analysis of Electromyography (EMG) signals and other motion sensors to predict
gait parameters to apply to the control of lower limb prostheses.
This work aims to predict the Alzheimer's level of patients based on brain MRI images.
This project focuses on the classification of movements using electromyographic (EMG) signals from the arm
This project contains a study on clustering movies based solely on their synopses
This project is a 3D game developed using OpenGL
This is a full integrated Java + Javascript Kafka environment to test multiple events
Tools and technologies I master
I'm always open to new opportunities and collaborations
Official channels for contact