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🚀 Hi, I'm Michael McBride

Principal Systems and AI | ML Research Engineer | Founder

As an AI research engineer and founder in charge of all the systems, I build next-generation deep RL platforms at the intersection of cognitive augmentation, agentic decision systems, and plasma-control, research aware machine intelligence. I push the boundaries of agent intelligence while making advanced ML systems more efficient, interpretable, and scalable.

🛠️ Technical Skills

Deep Learning

  • PyTorch
  • Keras
  • Transformers
  • Neural Architecture Search

Programming Languages

  • Python
  • C/C++
  • Java
  • Go
  • TypeScript
  • Bash

Data Management

  • SQL
  • Oracle
  • DynamoDB
  • Elastic Search

Cloud Services

  • AWS
  • GCP
  • OCI

Development Tools

  • GitHub
  • Git
  • RESTful APIs
  • CI/CD

💼 Professional Experience

Principal Systems and AI | ML Research Engineer | Founder

MMI F.K.A CEC (2022 – Present, Remote)

Senior Signature Success Engineer

Salesforce (2021 – 2022, Remote)

Senior TS Engineer

Oracle (2019 – 2021, Lehi, UT/Remote)

Full-Stack Developer

Ex Nihilo Group Inc. (2016 – 2019, Boulder, CO/Remote)

📫 Let's Connect

Feel free to reach out to me for any inquiries or collaboration opportunities!

Popular repositories Loading

  1. MichaelsEngineering MichaelsEngineering Public

  2. sac-agent-demo sac-agent-demo Public

    Soft Actor-Critic (SAC) agent demo to demonstrate understanding to clients and employers

    Python

  3. grokking-mechanism-test grokking-mechanism-test Public

    PyTorch tests of the geometric grokking hypothesis — that delayed generalization stems from a geometric phase transition minimizing low-frequency energy of an implicit graph Laplacian in learned re…

    Python

  4. gedanken-engine-for-regret-minimization gedanken-engine-for-regret-minimization Public

    Spec‑first, replayable agent coordination engine with append‑only traces, determinism, and 2026‑ready engineering practices.

    Python

  5. daimonion-mw-7r-cluster daimonion-mw-7r-cluster Public

    Power-bounded AI cluster synthesis. Converts a fixed MW site envelope into a deterministic, topology-aware cluster design. Models compute, network, storage, and cooling to maximize usable GPUs unde…

    Python

  6. get-physics-done-test get-physics-done-test Public

    Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement.

    Python