I am a technology enthusiast transitioning into the field of Artificial Intelligence, with a growing foundation in Linux systems and automation. My journey is driven by technical curiosity and a commitment to clean and secure code. I believe that AI and security must go hand in hand in building the digital future.
Currently, while honing my skills in cybersecurity and backend development, I am focused on consolidating my mastery of Python so that I can soon specialize in Machine Learning models and data processing to solve complex problems. Through platforms such as MIT OCW and NetAcad, I maintain a steady pace of evolution, combining software development with security practices.
Explore my technical environment below:
$ systemctl status developer-identity
● augusto.service - AI Specialist & Software Developer
Status: "Building intelligent systems and securing digital assets"
Main_Tech: Python | Machine Learning | Deep Learning | Linux
$ pip list --format=columns | grep -E "torch|tensorflow|scikit-learn|pandas"
Package Version
-------------------- ---------
pandas 2.1.0
scikit-learn 1.3.0
tensorflow 2.14.0
torch 2.1.0
$ check_learning_progress --verify
[✔] AI specialization: Math & Logic Foundations ........... ACTIVE (Phase 1)
$ git log --oneline -n 3 --author="Augusto"
a7b8c9d Feature: Implement Neural Network for predictive analysis
e1f2g3h Optimization: Refactor data preprocessing pipeline (Pandas)
i4j5k6l Setup: Configure Linux environment for GPU acceleration"The integrity of the upright shall guide them: but the perverseness of transgressors shall destroy them."
— Proverbs 11:3
| Platform | Learning Path / Certification | Status |
|---|---|---|
| Cisco Networking Academy | Introduction to Cybersecurity | ✅ Completed |
| MIT OpenCourseWare | Intro to Computer Science (Python) | 🚧 In Progress (5%) |
| Project | Overview | Interactive Demo | Source Code |
|---|---|---|---|
| 🛡️ AegisMon | AI-driven security monitoring with predictive threat detection, automated anomaly response, logging, and CI/CD-aligned packaging | ||
| 📁 AI Ethics & Responsibility | Responsible AI in Software Engineering, with emphasis on practical application and research evidence | ||
| ☁️ Drive Magnet Flow | Colab-based workflow to download and securely upload magnet links to Google Drive, ensuring integrity and seamless cloud access | ||
| 📑 LearnLoop | Educational platform that combines AI and peer teaching so students explain what they have learned, retaining more knowledge | ||
| 📰 TruthSnap | A lean web application that detects possible fake news via textual analysis, without relying on external services or ML models | ||
| 🟠 Ubuntu Requests | Python script for searching and organizing web images, inspired by the Ubuntu philosophy and targeting safe use | ||
| 👤 Web Portfolio Showcase | A robust multi-page responsive web layout crafted with HTML, CSS, and JS, designed for readability, speed, and efficiency |
Note: My curriculum is available in both 🇵🇹 Portuguese and 🇺🇸 English formats.
Always open to discussing AI, Security, and innovative projects. Thanks for visiting! 🌐