NLP4HR

Developed a framework to generate synthetic job postings using LLMs to address the lack of annotated job posting data that support skill extraction and matching tasks.

Leveraged LLMs in NLP pipeline to extract skill and match them to a known taxonomy from job postings, course descriptions, and resumes and compared greedy heuristics-based and reinforcement learning-based recommendation systems to recommend courses to job seekers based on their resume and job postings.