Electromechanical Engineer · Industry 4.0 · OT/IT Integration
Engineer with hands-on experience in industrial automation, railway systems maintenance, and water treatment infrastructure across central America. Now bridging operational technology (OT) and data science to build smarter industrial systems.
Currently completing a Master's in Industry 4.0, Digitalization and Applied AI at Universitat Politècnica de Catalunya (UPC)
- Predictive Maintenance Systems → ML pipelines on IIoT sensor data, deployed to Azure ML
- Industrial PLC Automation → Control logic for manufacturing processes using CODESYS and IEC 61131-3
- Process Simulation → Discrete event models for operational analysis using FlexSim
| Project | Stack | Description |
|---|---|---|
| Autonomous Bottling Line — PLC Control | CODESYS · IEC 61131-3 | Sequential control logic for an industrial bottling line. Ladder diagram and structured text programming per OEM standards. |
| Bus Queue Simulation | FlexSim | Discrete event simulation of urban transit stop dynamics. Models passenger arrival, service intervals, and queue behaviour under variable demand. |
| Smart Manufacturing — Predictive Maintenance | Python · scikit-learn · Azure ML | ML model predicting equipment failure from IIoT sensor data (vibration, temperature, acoustic signals). End-to-end: EDA → training → cloud deployment. |
| ROS Mobile Robot | ROS · Python · Linux | Autonomous navigation fundamentals: node architecture, topic communication, and basic motion control. (In progress) |
Industrial OT
Data & AI
Tools
Master's in Industry 4.0, Digitalization and Applied AI Universitat Politècnica de Catalunya (UPC) · 2025 – Present → Data analytics · Digital twins · IoT systems · Applied AI
Bachelor's in Electromechanical Engineering Universidad Tecnológica de Panamá · 2015 – 2021
Microsoft AI-300 — MLOps Engineer Associate (In progress)
Before moving into Industry 4.0, I spent 4 years working in demanding industrial environments:
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Rolling Stock Technician — Alstom (Metro de Panamá): Overhaul and maintenance of a 26-vehicle railway fleet. Bogies, wheelsets, braking systems, traction, and HVAC. NDT inspections. 99% fleet availability target.
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Application Engineer — Barriles S.A. / Xylem Inc.: Automation, electrical design, and field support for industrial water treatment systems across 30+ client sites in Panama and Costa Rica.
🌍 Panama · Open to EU opportunities
🎯 Targeting: Industry 4.0 Engineer · Industrial Data Analyst · OT/IT Integration Specialist