Industrial Automation & Electricity Engineer | IIoT & Data Specialist
Bridging the gap between Operational Technology (OT) and Information Technology (IT) to optimize industrial reliability and asset management.
I specialize in designing and implementing structured engineering solutions that transform raw factory-floor data into actionable insights for high-level decision-making. I combine the rigorous standards of electrical engineering with modern software development methodologies.
- 🌍 Driven to deploy global scalability and robust IIoT architectures.
- 🐍 Certified in Python development, focused on simulation and data pipelines.
- ⚙️ Hands-on experience in industrial manufacturing environments and asset tracking under SAP PM.
| Automation & IIoT | Software & Data | Business & Infrastructure |
|---|---|---|
IIoT Production Line Digital Twin Simulator
- Description: A mathematical model built in Python that simulates physical machine behavior, stochastic failures, downtime sequences, and real-time OEE calculations across a 5-machine assembly line. Engineered for data connectivity benchmarking without relying on physical hardware.
- Tech Stack: Python, MQTT, Node-Red.
Industrial Maintenance Management & Reliability System
- Description: A specialized tool designed to streamline maintenance operations, track asset reliability metrics, and organize equipment data for industrial facilities. It centralizes asset documentation and key KPIs to minimize unexpected operational downtime.
- Tech Stack: Python, Data Management, SQL, ML.
- 💼 LinkedIn: in/gabriel-castro-9017b01a6
- 📧 Email: gabo250501@gmail.com