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Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: YOLOAchievement: Pull Sharkx3Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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ricardolsmendes/README.md

Hey there, I am Ricardo Mendes.

With 20+ years in software development, and the last six focused on Data & AI, I navigate the intersection of business strategy and technical execution. Throughout my career, I have delivered projects for global leaders such as Google, PepsiCo, and JLL.

I am on a mission to align personal pragmatism with the modern need for performance improvement, empowering organizations to move beyond intuition and make data-driven decisions. When facing complex organizational challenges, I create the cross-functional synergy that technical projects often lack.

My areas of expertise include:

  • Data & AI Solutions Architecture on Databricks, AWS, Azure, and Google Cloud.
  • Data Governance, Data Quality, and Observability implementation.
  • Engineering Excellence: DevOps, DataOps, and MLOps.

You can also reach me at:

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  1. databricks-mlflow-genai-quickstart databricks-mlflow-genai-quickstart Public

    Learning about Mlflow for GenAI apps — not only the AI side of things but also how operationalize such apps

    Python

  2. ml-playground ml-playground Public

    General stuff that I use to learn ML

    Jupyter Notebook

  3. sna-dw sna-dw Public

    Companion repository for my Data Science & Analytics MBA Term Paper: "Social Network Analysis applied to Data Warehouses: opportunities and constraints for Data Governance"

    Jupyter Notebook 1

  4. aws-glue-ci-cd-blueprint aws-glue-ci-cd-blueprint Public

    Companion repository for the "Streamlining AWS Glue CI/CD — A Comprehensive Blueprint" blog post

    HCL 11 6

  5. websockets-asyncio websockets-asyncio Public

    Companion repository for the "WebSockets and AsyncIO: Beyond 5-line Samples" blog post

    Python 13 2

  6. pyproject-toml-cheat-sheet pyproject-toml-cheat-sheet Public

    Thoughts & notes on clean pyproject.toml design

    Python 9