RAG Pipeline
A retrieval-augmented generation pipeline using vector embeddings for semantic search over large document corpora.
open to collaborations & consulting
GenAI Solutions Architect & Consultant — I take enterprise AI from whiteboard to production: RAG pipelines on Databricks and Azure OpenAI, and the APIs and frontends that ship them.
// writing
Modern Python CI/CD on Databricks with uv and Declarative Automation Bundles
// work
A retrieval-augmented generation pipeline using vector embeddings for semantic search over large document corpora.
A collection of Python utilities for building and orchestrating data pipelines — ingestion, transformation, and loading.
My personal Linux configuration — shell scripts, dotfiles, and automation for a productive terminal-centric workflow.