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AlCodes808/README.md

πŸ–– Hi, I'm Alonzo

Full Stack Software Engineer | AI/ML Specialist | Cybersecurity Enthusiast


πŸš€ About Me

name: Alonzo
role: Full Stack Software Engineer
education: 
  - BS & MS Computer Science
  - MS Cyber Security (In Progress)
specialties:
  - Machine Learning & Artificial Intelligence
  - Cyber Security
  - Cloud Architecture
current_focus: Building secure, scalable AI-powered applications
certifications: Professional Certifications Below
  • πŸ”­ Currently working on AI/ML Cloud based solutions and cybersecurity projects
  • 🌱 Learning advanced cybersecurity techniques and cloud-native architectures
  • πŸ’‘ Passionate about securing intelligent systems

πŸ› οΈ Technical Arsenal

Languages

Python Java JavaScript SQL Scala

Frontend Development

React Next.js HTML5 CSS3

Backend Development

Node.js Express.js REST API

Cloud & DevOps

AWS Google Cloud Azure Docker Firebase

Databases

PostgreSQL MongoDB MySQL


πŸ† Professional Certifications

☁️ Cloud & Machine Learning

AWS MLA AWS SAA

πŸ”’ Security & Infrastructure

Security+ Network+ Splunk ITIL 4

πŸ“Š Project Management

Project+


πŸ“Š GitHub Statistics

Alonzo's GitHub Stats


🎯 Featured Projects

Cloud security lab demonstrating real-world attack chains in AWS

  • Designed a full Capture-the-Flag environment simulating production-like AWS misconfigurations
  • Showcases lateral movement across segmented VPC networks using SSRF, IMDSv1 abuse, overprivileged IAM roles, and security group flaws
  • Built automated infrastructure provisioning with randomized cloud misconfigurations for unique deployments
  • Includes multi-tier EC2 architecture (DMZ β†’ Internal β†’ Restricted) and vulnerable service configurations
  • Demonstrates end-to-end intrusion chain: initial access β†’ credential theft β†’ AWS resource enumeration β†’ pivoting β†’ crown-jewel data exfiltration

Automotive network simulation demonstrating multi-ECU communication, arbitration, and real-time diagnostics

  • Developed a full software-based CAN (Controller Area Network) simulator modeling real automotive ECU behavior
  • Implements multi-node communication across Engine, Brake, Body Control, and Infotainment ECUs
  • Supports CAN 2.0B–style message arbitration, collision handling, and priority-based frame transmission
  • Features diagnostic trouble code (DTC) generation, fault monitoring, and realistic message flow patterns
  • Built a web dashboard for real-time traffic visualization, ECU status monitoring, and collision alerts
  • Showcases embedded-systems concepts: circular buffers, state machines, binary protocols, and timing-driven execution

πŸ’­ Quote of the Day

Quote


"Securing the future, one line of code at a time" πŸš€

⭐️ From Alonzo

Pinned Loading

  1. Spatial-statistics-hot-spot-analysis Spatial-statistics-hot-spot-analysis Public

    Spatial Data Science: Hotspot Detection using Big Data

    Scala

  2. SmartECU SmartECU Public

    C

  3. Project-Management-Dashboard Project-Management-Dashboard Public

    Allows teams to collab on a web dashboard

    JavaScript

  4. Machine-Learning-Diabetes-Prediction Machine-Learning-Diabetes-Prediction Public

    Predicting diabetes using machine learning. Implemented on a fullstack webpage

    HTML

  5. Vehicle-Routing-Problem Vehicle-Routing-Problem Public

    Deliver x amount of packages in the least time with multiple vehicles.

    Python

  6. CAN-Bus-Communication-Sim CAN-Bus-Communication-Sim Public

    An automotive CAN (Controller Area Network) bus simulator demonstrating multi-ECU communication, message arbitration, and diagnostic trouble code (DTC) management. With a dashboard for visualizations.

    C 2