AI Career Assistant

Ask About Ryan’s Experience

Ask about Ryan’s professional experience, leadership, technical background, projects, and qualifications.

What would you like to know?

Ask a question that a recruiter, hiring manager, prospective client, or professional contact might ask.

Answers are grounded in Ryan’s uploaded career documents.
Generating your answer...
Searching Ryan’s career documents and preparing a grounded response.
AI-generated response

Answer

How This AI Works

This is a Retrieval-Augmented Generation, or RAG, application.

1

You ask a question

Django receives and validates your request.

2

Relevant information is found

OpenAI embeddings, PostgreSQL, and pgvector identify the strongest matching career content.

3

A grounded prompt is created

Retrieved résumé, project, and testimonial content is combined with accuracy instructions.

4

The answer is generated

OpenAI writes a professional response using the retrieved career evidence.

Why use RAG? It helps prevent unsupported answers by grounding each response in Ryan’s actual career documents.

Supporting Sources

These are the career-document sections retrieved to support the response.