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Harry 👋

Software Engineer | OMSCS (AI Track)
Cybersecurity • Python Automation • Applied Machine Learning

Engineer with a background in security and defense systems, currently focused on applying machine learning to real-world operational problems. I’m building AI capabilities on top of practical experience in automation, data processing, and reproducible system design.

My work sits at the intersection of:

  • Machine learning workflows
  • Security data analysis
  • Python-based automation
  • Operationally grounded system design

🎯 Current Focus

  • Applied machine learning fundamentals
  • Building reproducible AI workflows
  • Model evaluation and validation
  • Data preprocessing and feature engineering
  • Applying ML techniques to security and operational datasets

🚀 Selected Projects

🔐 Cybersecurity Honeypot Lab

Practical security lab environment for traffic capture and analysis.

  • Infrastructure-as-code deployment
  • Data collection suitable for anomaly detection workflows
  • Reproducible security experimentation environment

📊 Defense Data Automation

Python tooling for extracting and transforming structured defense personnel data.

  • Data normalization and preprocessing pipelines
  • Automation of manual reporting workflows
  • Structured datasets suitable for analytics and ML experimentation

🎓 Open-Source Teaching Materials

Course resources and structured learning content for cybersecurity education.

  • Hands-on lab environments
  • Python scripting exercises
  • Applied systems thinking

🧠 What I'm Learning (AI)

  • Supervised learning workflows
  • Feature engineering techniques
  • Model evaluation strategies
  • Practical ML experimentation
  • Integrating AI into existing engineering workflows

🛠 Technical Background

Languages: Python, Bash, SQL

Data & ML:

  • Pandas
  • Data preprocessing workflows
  • Experimentation and evaluation pipelines

Security:

  • Network labs
  • Defensive tooling
  • Infrastructure experimentation

Tools:
Linux • Git • Cloud environments


⚙️ Engineering Approach

  • Prefer simple, maintainable solutions
  • Automation where possible
  • Practical experimentation over theoretical complexity
  • Learning through building and iteration

📈 Current Work

  • OMSCS Artificial Intelligence track
  • Building AI-focused portfolio projects
  • Integrating ML techniques into security workflows

About

This repository belongs to Harry A. Staley Jr., a cybersecurity educator and Python developer with over 12 years of experience supporting U.S. Army and DoD modernization. It showcases his work and contributions to open source projects, reflecting his passion for data science, teaching, and continuous learning.

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