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codychampion/README.md

Cody Champion, PhD

AI Decision Science Manager at Accenture Ireland. Based in Dublin.


What I work on

  • Enterprise AI / agentic systems — production RAG, multi-agent orchestration, knowledge graph automation (Neo4j + Graphiti, FastMCP, LiteLLM, Prefect)
  • Geospatial / satellite ML — planetary-scale detection pipelines; IARPA SMART program technical lead (Airflow-orchestrated, 50+ independently evaluated release cycles, $60M+ portfolio oversight)
  • Applied ML — ViT, Siamese/contrastive learning, Koopman operators, UNet/ResNet; remote sensing, object detection, change detection
  • AI infrastructure — RTX 5090 homelab, Cloudflare Tunnel + OAuth 2.1, Langfuse observability, 55-container Docker stack

Background

ODNI/NGA postdocBooz Allen Hamilton Lead Scientist (DARPA advisement) → Accenture Federal Services ML Eng Manager (IARPA SMART)NSF Lead Data Scientist GS-15 (strategic advisor to Chief AI Officer) → Accenture Ireland

PhD, Biology (computational focus, NMSU) | NSF Graduate Research Fellow 2015-2018 | Claude Certified Architect (Early Adopter, 2026)


Selected publications

Year Venue Topic
2024 IEEE IGARSS Satellite ML / remote sensing
2023 IEEE IGARSS (first author) Geospatial change detection
2023 WACV Computer vision
2020 Cell Chemical Biology Mosquito microbiome
2018 Annals of Behavioral Medicine Epidemiology forecasting

Links

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  1. mcp-orchestrator-workbench mcp-orchestrator-workbench Public

    MCP/FastMCP orchestration workbench for agent routing, logging, and local service experiments.

    Python

  2. design-system design-system Public

    Personal design system for AI-agent-ready portfolio surfaces, tokens, and interaction patterns.

    HTML

  3. eldritch-thinking eldritch-thinking Public

    Lovecraftian thinking-status messages for AI apps, CLIs, dashboards, and agent UIs.

    JavaScript

  4. local-ml-workbench local-ml-workbench Public

    Local MLOps workbench for self-hosted model serving, RAG experiments, and evaluation infrastructure.

    Python

  5. arxiv-embedding-benchmark arxiv-embedding-benchmark Public

    Published PyPI package for ArXiv embedding benchmarks, retrieval evaluation, and scientific RAG experiments.

    Python 4