Nicolas Goulart Silva - Electrical and Computing Engineer, Systems Engineering and AI Enthusiast 👨‍💻

Welcome to my GitHub profile! I'm Nicolas Goulart Silva, an Electrical and Computing Engineer passionate about systems engineering, and artificial intelligence. Currently, I'm serving as an Associate Researcher at FAPESP, where I lead technical-scientific research and develop innovative solutions for process and manufacturing industries.

🔧 Technical Expertise

Systems Architecture: Specialized in designing products, platforms, and services.
Artificial Intelligence: Expertise in developing predictive algorithms for industrial software solutions and process control systems using machine learning.
Industry 4.0: Technical coordination in areas such as Industrial Digitization, Cloud Computing Platforms, Automation Systems, IT/TA convergence, Industrial IoT, IT industrial security, and more.

🌍 Professional Background

With a strong foundation in control systems engineering, I've focused on industrial process automation, specializing in SCADA and PLC software.
ESP32 Embedded System: Currently working with ESP32 predictive maintenance solutions for process and manufacturing industries.
My experience extends to Power Systems, contributing to energy management solutions in various projects across Brazil and LATAM.

🚀 What I'm Currently Up To

Learning Journey: Currently diving into C# Programming, Machine Learning, R Language, Optimization Algorithms, and GeneticSharp.
Collaboration: I'm open to collaborating on innovative projects that align with my interests and expertise.

📬 Let's Connect

Feel free to reach out to me at [email protected] for any inquiries, collaborations, or just to say hello! I'm always excited to connect with fellow enthusiasts and professionals.

Thank you for visiting my GitHub profile! 🌟

NicolasGoulart's Projects

adt-3d-embedder-app

Azure Digital Twin Explorer 3d Scenes

ais_iot_4g

Arduino library for AIS 4G Board

detection-of-induction-motor-stator-damage-using-electric-signals.

Detection of Induction Motor Stator Damage Using Electric Signals. Research that I did is build a system predictive maintenance that can detect faulty of stator induction motor by using current signal. I was combining artificial intelligence in system detection for more accurate predict the condition of induction motor. The project need skills like signal processing, statistical methods, artificial intelligence, and advance programming level.