Portfolio

A collection of projects and work I’ve built over the years.

Featured Projects

Since 2014, I develop connectors that GAP used in their employee extranet.

If he dealer and they can’t figure out the problem, they end up using a system that I built.

I work with a variety of technologies including:

Vector Databases: OpenSearch, Elasticsearch, Lucidworks, Algolia, Apache Solr, QDrant, Coveo, and more…
AI & ML:
- Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG)
- Vector search, hybrid search (sparse + dense), and relevancy engineering
- Named Entity Recognition (NER), text classification, query understanding
- Vision models for document ingestion and extraction
Languages: TypeScript, Python, Node.js, Java, C#
Frontend: React, Next.js
Backend: Node.js, FastAPI, Spring
Infrastructure: Docker, Azure, AWS, GCP, OCI