I'm a Python developer and open-source maintainer building safe agent infrastructure, traceable data pipelines, Django ORM tooling, and reliable developer workflows.

• 🕸️ I created OnceMesh, a specification-first exact-reuse layer with content-addressed results, signed provenance, and opt-in federation for agent 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, AI agents, safe caching, data engineering, database performance, or developer experience.

OnceMesh Compute once and reuse safely across agent and workflow runtimes without turning correctness, privacy, or trust into implicit cache settings. Focus: exact computation identity, content-addressed artifacts, signed provenance, private and organization caches, framework adapters, and explicit public federation. PyPI · Documentation · Observatory · Contribute

LangGraph · LangChain · LlamaIndex Python 3.11–3.13 · Apache-2.0

sap-knowledge-pipeline 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

django-fetch-guard Prevent Django N+1 queries and accidental lazy database fetches with explicit fetch policies and automatic batching. Focus: predictable ORM access, DRF integration, actionable diagnostics, and testable fetch contracts. PyPI · Documentation · Contribute

Django 4.2–6.1 Python 3.10+

django-index-optimizer Analyze PostgreSQL pg_stat_statements data and turn recurring query patterns into actionable index recommendations for Django applications. Current work: modern Django and Python support, preview-first recommendations, and safe, reviewable index creation. PyPI · Documentation · Contribute

PostgreSQL analysis Next release in progress

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 safe agent reuse, SAP-to-RAG pipelines, Django query behavior, PostgreSQL performance, or contributor documentation? Start with one of my repositories' contributor-ready issues:

• OnceMesh — issues and adapter requests
• SAP Knowledge Pipeline — good first issues
• django-fetch-guard issues
• django-index-optimizer issues