Synthetic Data

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.

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.