FWC-HRMS — AI-Powered HR Management System
Developed an AI-driven bulk resume screening and auto-ranking module in Python, processing over 30 resumes per batch with a rule-based fallback for low-confidence AI outputs. Exposed the resume-screening pipeline as REST endpoints using FastAPI, and built a Django module for admin, employee, and HR management workflows. Designed a Retrieval-Augmented Generation (RAG) pipeline using SQL Server and vector indexing, reducing HR query response time by 40%. Evaluated AI frameworks and models with Vertex AI to select optimal solutions for the screening pipeline, integrating Google Workspace APIs for content handling. Utilized GitHub Copilot and OpenAI Codex to accelerate code generation; deployed the project for public access.