I'm a Python developer building open-source tools around SAP data pipelines, Django ORM performance, PostgreSQL, and reliable developer workflows.
- 🔗 I created sap-knowledge-pipeline, which turns selected SAP OData and HANA records into citation-ready knowledge for RAG.
- 🛡️ I maintain django-fetch-guard and django-index-optimizer.
- 🌱 I contribute focused fixes, regression tests, typing improvements, and documentation across the Django ecosystem.
- 🤝 I welcome contributors interested in Python, SAP, data engineering, database performance, or developer experience.
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Turn selected SAP OData and HANA records into secure, citation-ready knowledge for RAG applications. Focus: explicit field allow-lists, structured provenance, server-driven pagination, durable checkpoints, and provider-neutral outputs. PyPI · Documentation · Roadmap · Contribute |
OData V2/V4 · HANA Python 3.11–3.14 |
| Project | Contribution | Status |
|---|---|---|
| django-stubs #3538 | Fixed middleware callable-composition typing and added cross-checker regression coverage | Merged |
| django-debug-toolbar #2426 | Documented contributor and resource-sharing processes | Open |
| All public pull requests | Focused fixes, tests, typing, and documentation | Ongoing |
I prefer small, well-tested contributions that solve a concrete problem and are easy for maintainers to review.
Language statistics describe code in my public, non-forked repositories; they are not a measure of proficiency.
Want to improve SAP-to-RAG pipelines, Django query behavior, PostgreSQL performance, or contributor documentation? Start with one of my repositories' contributor-ready issues: