Naif Nizami

Resume Parsing for Efficient Recruitment

• Led the backend development efforts for a collaborative team project focused on automating the resume parsing process.
• Utilized Python programming and the NER and spaCy libraries to extract essential candidate information from unstructured resumes.
• Developed and integrated RESTful APIs to seamlessly incorporate the resume parsing functionality into the application.
• Ensured the scalability and efficiency of the backend code to handle a large number of resume documents.
• Conducted rigorous testing and debugging, resulting in the delivery of a reliable and accurate resume parsing system.