Overview
Career advice is usually generic because comparing one person against a whole job market is hard. SkillGap AI makes that comparison directly: a profile and live job postings are embedded side by side, and the gap between them becomes an upskilling plan.
As sole developer I built and deployed the whole system. It won three PMI San Francisco awards in the NextGen Leaders category.
How it works
- Retrieval: a RAG pipeline maps user profiles against embeddings of live job-market data.
- Gap analysis surfaces the specific skills between a profile and a target role.
- Roadmap generation turns those gaps into ordered, targeted upskilling recommendations.
- Platform: React frontend, PostgreSQL and Supabase backend, deployed on Vercel.
Results
- Served 500+ concurrent users in production.
- Reduced career roadmap generation time by 70%.
- Won 3 PMI San Francisco awards (NextGen Leaders) as sole developer.
Stack
This project is not open source.