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  • Huntsville, AL

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TheAzariaReed/README.md

Azaria A. Reed

I built my career by progressing from manual testing into software engineering and test automation work, and ultimately into systems engineering focused on verification, validation, and operational reliability. I began by validating and releasing customer-facing production systems and expanded into automated testing, technical documentation, and software validation work involving C#, unit testing, and AI-assisted test generation. Today, I serve in systems engineering roles that require ownership, not just execution. I act as a primary technical point of contact, translate requirements into verifiable technical outcomes, and drive improvements in system traceability, performance, and user confidence.

My long-term trajectory centers on leadership at the intersection of engineering, AI, cybersecurity, and strategic management. I am particularly interested in environments where safety, dependability, and mission success matter, and I aim to grow into roles that combine leadership, strategy, and high-impact problem solving across complex environments.

Portfolio (Best Starting Points)

  1. AI System Reliability & Decision Analysis
    Machine learning reliability study evaluating how intelligent systems classify, interpret, and validate complex data through comparative model analysis, diagnostic evaluation, and evidence-backed performance testing.
    Repo: https://github.com/TheAzariaReed/technical-projects/tree/main/TechnicalProjects/PokerHandClassification_AIModelReliabilityStudy

  2. Signal & Sensor Data Visualization Analysis
    Data analysis and visualization project using dimensionality reduction and classification techniques to identify patterns, improve data separability, and interpret complex multidimensional sensor-style datasets.
    Repo: https://github.com/TheAzariaReed/technical-projects/tree/main/TechnicalProjects/MachineLearning_VisualizationDrivenModelAnalysis

  3. Predictive System Modeling & Performance Validation
    Comparative predictive modeling project analyzing the performance, convergence behavior, and validation accuracy of Support Vector Regression (SVR) and Artificial Neural Network (ANN) systems using quantitative diagnostics and performance evaluation techniques.
    Repo: https://github.com/TheAzariaReed/technical-projects/tree/main/TechnicalProjects/AutoMPG_SVR-vs-ANN_ModelValidation

Contact

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  1. technical-projects technical-projects Public

    Systems-oriented technical projects emphasizing verification and validation (V&V), reliability analysis, comparative experimentation, reproducibility, and evidence-backed technical interpretation a…

    Python