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uehlingeric/README.md

Eric Uehling — AI Solutions Architect

I design and ship production LLM systems — agentic platforms, hybrid RAG, multi-agent orchestration, and the evals that keep them honest.

Stack

Python, PyTorch, FastAPI, AWS, Terraform, Docker, TypeScript, PostgreSQL

Contact

Email    LinkedIn

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  1. agentic-rag agentic-rag Public

    Provider-agnostic agentic RAG reference system: multi-agent orchestration, hybrid retrieval, guardrails, judged evals

    Python

  2. federal-llm-blueprint federal-llm-blueprint Public

    Terraform reference architecture for federal LLM workloads: no-egress VPC, KMS everywhere, NIST 800-53 mapping

    HCL

  3. banana-mcp banana-mcp Public

    MCP server exposing Gemini image and text generation as Claude Code tools; single and batch, persistent defaults

    Python

  4. dog-breed-classification dog-breed-classification Public

    CNN-based dog breed classifier achieving 95% accuracy across 70 breeds using ensemble learning

    Jupyter Notebook

  5. ground-combat-systems-contract-analysis ground-combat-systems-contract-analysis Public

    DoD ground combat systems contract analysis (FY2016–2020); vendor concentration, lifecycle, risk assessment

    Jupyter Notebook

  6. interpretable-diabetes-prediction interpretable-diabetes-prediction Public

    XGBoost diabetes prediction; 96% ROC AUC on Kaggle EHR data; clinical vs. survey data comparison

    Jupyter Notebook