The client is a Dublin-based startup that develops an AI-powered talent recommender engine for HR tech vendors, enterprises, and staffing agencies. Through resume parsing and analysis, information extraction, and candidate matching and ranking, talent management is made easy. The startup was acquired by a leading US cloud recruiting platform.
The client wants to develop a resume parser and summarizer to work with unstructured CVs in document form, sent by candidates in various formats. The engine is supposed to extract all important information about the candidates, including personal information, level of seniority, years spent with different companies, and experience with different skills. Finally, the engine should summarize everything about the client in a short, generated paragraph.
The client has experimented with open-source NLP solutions, but the results were not satisfactory as the models weren’t trained on relevant data, accuracy was very important so the engine does not discriminate against random candidates by making a mistake during parsing or summarization.
They reached to BroutonLab to develop a custom engine with a relatively small labeled training dataset.