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isaacmartins12/README.md

👋 Hi, I'm Isaac Martins (Zack)

I'm a Software Engineer passionate about building scalable backend applications and solving real-world business problems.

Currently working as a Software Engineer in industrial automation, developing software solutions, system integrations and enterprise applications.

🎓 Electrical Engineer

☕ Backend Developer focused on Java, Spring Boot and Python

🚀 Passionate about Software Architecture, Distributed Systems and Cloud Computing

📨 Feel free to connect: isaac.martins230@gmail.com

👨‍💻 About Me

  • ☕ Java Backend Development
  • 🌱 Spring Boot
  • 🐍 Python Development
  • 🌐 REST APIs
  • 🗄️ Database Design
  • 🐘 PostgreSQL & MySQL
  • 🐳 Docker
  • ☁️ Cloud Computing
  • 🔗 System Integration
  • 🏗️ Software Architecture
  • ⚙️ Enterprise Applications
  • 🚀 Always learning new backend technologies

💻 Backend Stack

🗄️ Databases

⚙️ DevOps & Tools

🌐 Frontend (Secondary Skills)

📌 Main Interests

  • Backend Development
  • Software Architecture
  • REST APIs
  • Distributed Systems
  • Microservices
  • Cloud Computing
  • Enterprise Software
  • Clean Code
  • Design Patterns

GitHub Stats

📫 Contact

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  1. Invoice_Analysis Invoice_Analysis Public

    Interactive app to analyze PDF invoices. Extracts transactions, categorizes expenses, and shows bar & pie charts for spending insights. Built with Python, Streamlit, Pandas, pdfplumber, and Plotly.…

    Python 1 1

  2. launcher-school-system launcher-school-system Public

    Full-stack system for managing academic extracurricular activities. Students submit certificates, directors approve/reject them, and the system automatically controls limits, weights, and progress …

    Python

  3. pv-fault-detection-edge-ai pv-fault-detection-edge-ai Public

    Development and evaluation of a convolutional neural network for fault classification in photovoltaic modules using thermal imaging, targeting execution on embedded edge devices.

    Python

  4. stock-trend-predictor-ml stock-trend-predictor-ml Public

    This project allows users to visualize the historical stock prices of multiple stocks interactively in real-time using Streamlit and Plotly. By inputting a list of stock tickers (e.g., PETR4.SA, VA…

    Python

  5. predictive-maintenance-motor-ml predictive-maintenance-motor-ml Public

    End-to-end ML pipeline for industrial motor risk classification (low/normal/moderate/high) from sensor data, model benchmarking, SHAP explainability, served via FastAPI + Streamlit Dashboard, fully…

    Jupyter Notebook