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MLM2/README.md

Hi, I’m Mike McKeever

Technical Program Manager | National Security | Cloud & AI Delivery | TS/SCI CI Poly

I’m a Technical Program Manager with 20+ years delivering mission-critical systems across the Intelligence Community, DoD, and DHS, specializing in secure system modernization, Agile delivery, and cross-agency program execution.

My current focus is on cloud architecture and technical program delivery, including AWS-based system design, secure data platforms, and DevSecOps-aligned workflows. I develop reference architectures and implementation prototypes to evaluate scalability, security, and mission alignment in regulated environments.

This GitHub portfolio highlights work at the intersection of cloud, AI governance, and mission-oriented delivery in regulated and high-security environments. The portfolio emphasizes translation of mission workflows into cloud-native architectures, with a focus on security, scalability, and delivery in classified environments.

Recent work includes reference architectures for secure mission data platforms and cloud architecture tradeoff analysis.


🔍 What I'm Working On

  • 🧠 AI Risk Dashboard: Demonstrating AI assurance workflows using MLflow, Fairlearn, and NIST AI RMF
  • 🧪 Transformer Security Checker: Evaluating robustness and vulnerabilities in LLMs using adversarial attacks
  • 🌐 Cloud, AI & Policy Portfolio: Combining IC and DHS program experience with secure cloud architecture, DevSecOps delivery, and AI governance frameworks

🏗️ Cloud Architecture Portfolio

  • Secure Data Pipeline (AWS): Reference architecture and implementation prototype for event-driven ingestion and processing using Amazon S3, AWS Lambda, and CloudWatch, aligned to Intelligence Community data workflows
  • Secure Cloud Architecture Tradeoffs: Comparative analysis of design decisions across scalability, cost, and security in regulated and classified environments

📚 Featured Projects

Project Description Tools
AI-Risk-Dashboard Demo of responsible AI governance workflows Python, MLflow, Fairlearn
Transformer-Security-Checks Demo of LLM adversarial testing Python, TextAttack, Transformers
AI-Assurance-Policy-Assistant GPT-based AI assurance Q&A with policy citations LangChain, OpenAI, NIST RMF

🧠 My Background

  • 20+ years in federal program leadership, including:
    • 14 years supporting ICE SEVP (data systems + interagency collaboration)
    • DIA MARS PMO (ML pipeline transformation)
    • Agile coaching with NRO
    • Scaled agile support to DHS I&A
  • PMP, CSM, SAFe Agilist certified
  • TS/SCI with CI Poly
  • AWS Solutions Architect – Associate (in progress; hands-on architecture development underway)

📫 Let's Connect


“Policy without tech is theory. Tech without policy is chaos.”

Pinned Loading

  1. ic-secure-data-pipeline-aws ic-secure-data-pipeline-aws Public

    Serverless AWS data pipeline demonstrating secure ingestion, processing, and storage using S3, Lambda, and event-driven architecture aligned to IC-style mission workflows.

    Python

  2. secure-cloud-architecture-tradeoffs secure-cloud-architecture-tradeoffs Public

    Reference architectures and tradeoff analysis for secure mission data platforms

  3. secure-mission-modernization-platform secure-mission-modernization-platform Public

    Reference architecture and modernization platform demonstrating secure cloud integration, AI-enabled analytics, DevSecOps coordination, and Zero Trust-aligned mission workflows for classified envir…

    HCL