Data Prep Kit is an open-source toolkit for preparing and transforming data for AI and LLM applications.
Repo: data-prep-kit/data-prep-kit 
My contributions
I contributed directly to the upstream project as a developer advocate and open-source contributor.
My work included improving developer usability, testing workflows, filing issues, contributing code and documentation, and building practical examples around data preparation and RAG workflows.
- Contributed code and fixes to the upstream Data Prep Kit repository
- Created numerous examples for PDF processing / RAG / HTML processing
- Improved examples, documentation, and developer workflows
- Built and tested data-cleaning and preparation pipelines
- Created tutorials, workshops, demos, and conference content
- Ran workshops and gave talks at conferences
- Gathered developer feedback and worked with the project team to improve usability
I also created a separate companion project, Data Prep Kit Examples, with practical end-to-end examples for developers learning and using Data Prep Kit.
Talks / Workshops Using Data Prep Kit
QCon SF 2025
Open-source RAG pipeline workshop with Docling, Data Prep Kit, and Milvus.
San Francisco • Workshop
PyData Global 2024
Preparing Data for LLM Applications Using Data Prep Kit.
Online • Talk
Tech Equity AI Summit 2024
Preparing Data for LLM Applications Using Data Prep Kit.
Mountain View • Talk
IBM TechXchange 2024
Streamlining Data Prep for LLMs with Data Prep Kit.
Las Vegas • Workshop
Data Prep Kit Workshop @ Hacker Dojo 2024
First hands-on workshop of the Data Prep Kit series.
Mountain View • Workshop
Gallery
