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simplyjug/README.md

Jugal Shah

Principal Architect — Data & AI

21+ years designing and modernizing enterprise data platforms — and now putting agentic AI on top of foundations that can actually carry it.

What I work on

  • Data foundations for AI — lakehouse architecture, governance, data quality, contracts and lineage, embedded in the platform rather than bolted on
  • Agentic AI in production — multi-agent systems, MCP, RAG, evaluation and guardrails, cost and trust controls
  • Modernization & data center exit — large-scale database migration, platform consolidation, legacy transformation
  • Data governance — operating models, councils and stewardship, policies, metrics, regulated-industry controls (GxP / SOX / HIPAA)

Featured work

  • AgenticAIBootCamp — a 14-week, open-source Generative AI & Agentic AI bootcamp: curriculum, labs, playbooks and an interview companion
  • Data Governance Roadmap — proposed to roadmap.sh; authoring the content as it moves through review

Writing & credentials

  • Blog: aiDeeva.com
  • AWS and GCP professional-level certifications
  • Microsoft MVP (SQL Server), 2010–2013

Connect

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  1. AgenticAIBootCamp AgenticAIBootCamp Public

    Self Service Generative AI and Agentic AI bootcamp

    Python 1

  2. agent-cookbook agent-cookbook Public

    Production patterns for agentic AI — approval gates, budget caps, loop breakers, evals and audit trails. Small, runnable, copy-paste examples.

    Python 1