I'm a Control and Automation Engineer and Full Stack Developer with a passion for building scalable IoT solutions, predictive maintenance systems, and cloud-based data pipelines. With a B.Sc. from the Federal University of Santa Catarina and hands-on experience at GreyLogix, I specialize in developing secure, efficient, and innovative solutions for industrial automation and manufacturing. My expertise spans Python, Java, C, cloud platforms (GCP), and industrial protocols (OPC-UA, MQTT). I'm always exploring new ways to leverage Machine Learning and IoT to solve real-world challenges.

🌟 Currently, I'm diving deeper into machine learning, open-source projects, and modern software architectures while contributing to impactful automation solutions.

• IoT Solution for Textile Industry
  Developed a real-time monitoring and automation system using Raspberry Pi and Python, increasing production output by 30%.
  Technologies: Python, Raspberry Pi, MQTT, Node-RED

• Mechanical Pulmonary Ventilator (COVID-19 Response)
  Contributed to the rapid development and deployment of a ventilator, training 200+ healthcare professionals for safe operation during the pandemic.
  Technologies: Embedded Systems, Ladder, Technical Training
  Impact: Enhanced patient care during critical demand.

• Predictive Maintenance Pipeline
  Built cloud-hosted data pipelines for industrial predictive maintenance, integrating OPC-UA, Modbus and MQTT for real-time data acquisition.
  Technologies: Python, GCP, Docker, InfluxDB
  Impact: Optimized operational insights for manufacturing.

• Photographic Panel System
  Created a responsive web application using Node.js and Angular, improving response time by 10%.
  Technologies: Node.js, Angular, JavaScript

• Protocols: OPC-UA, MQTT, Modbus, Profinet, Ethernet/IP
• Platforms: Arduino, Raspberry Pi, Node-RED, TIA Portal, ESP

• Engineering: SolidWorks, COMOS Siemens
• DevOps: Git, GitHub, Postman, Prometheus
• Analytics: Data Pipelines, ETL, InfluxDB

• System Integration, Predictive Maintenance

• Software Engineer (Aug 2022 – Present)
  Designing and deploying full-stack IoT solutions and cloud data pipelines for industrial automation. Leading system integration with OPC-UA, MQTT, and multi-cloud environments (AWS, GCP).
  Key Contribution: Optimized predictive maintenance pipelines, enhancing real-time monitoring.

• Control and Automation Engineer (May 2021 – Aug 2022)
  Led electrical diagram design using COMOS Siemens, reducing development time by 20%. Automated routine tasks, improving engineering efficiency by 10%.

• Freelancer (Ongoing)
  Developed IoT and web solutions, including a Node.js/Angular system for photographic panels and a Python/Raspberry Pi automation system for the textile industry.

• Pursuing certifications in Machine Learning and Cloud Computing (e.g., Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty).
• Exploring advanced topics in predictive maintenance, deep learning, and multi-cloud architectures.