JobFinder
Applied AI / RAG Product
Sole-built job-discovery and application pipeline that ingests live postings, ranks them against an embedded resume/profile corpus, and drafts tailored application material. The system moves from regex pre-filtering to local Ollama embeddings, Claude Haiku triage, Claude Sonnet drafting, and pgvector-backed retrieval over a structured personal profile. It has async ingestion, migrations, structured logging, cost tracking, and a FastAPI + HTMX tracker UI around the model layer.
Python, Anthropic API, Claude Haiku, Claude Sonnet, Ollama, nomic-embed-text, Postgres 16, pgvector, FastAPI, HTMX, Alembic, Typer, psycopg3 async, RAG