AI & Software Development

AI Career Assistant

A retrieval-augmented generation (RAG) application, built into this website, that answers questions about my experience and helps recruiters assess my fit for a role.

Organization
612 Consulting Services
My role
Product owner & developer
Timeframe
2026

The challenge

A resume compresses 20+ years of work into two pages, and it can’t answer follow-up questions. I wanted hiring managers and recruiters to be able to ask about my experience directly and get answers grounded in my actual work history. I also wanted to show, not just claim, my technical depth.

What I did

  • Designed and built a RAG application in Python and Django that indexes my career documents into a PostgreSQL vector database (pgvector).
  • Built a Q&A assistant that retrieves the most relevant passages and streams an AI-generated answer, with conversation memory.
  • Built a recruiter tool that compares any job description against my documented experience and returns a fit assessment.
  • Added private tools for my own job search: resume tailoring with Word export, reusable cover letters, and skill-assessment answers.
  • Secured the app with admin-only access for private tools, rate limiting, and encrypted storage for sensitive uploads.

Results

Live
on this site: ask the assistant
2
public AI tools for hiring managers and recruiters
3
private tools for tailored resumes, cover letters, and skill assessments

Skills & tools

PYTHON DJANGO POSTGRESQL & PGVECTOR OPENAI API RAG PRODUCT MANAGEMENT

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