AI Resume Screening and Candidate Matching API Developer
Built an AI-assisted backend service for resume parsing, candidate-job matching, and relevance scoring using machine learning-based text processing. Developed APIs to extract structured data from unstructured resumes and implemented algorithms for matching candidates to job descriptions. Utilized methods such as TF-IDF and vector similarity to classify and score candidate-job pairs for recruiter workflows. • Designed pipelines for resume ingestion, skill extraction, and keyword normalization • Implemented classification and relevance scoring algorithms to label and rank candidates • Provided structured outputs suitable for recruiter evaluation and automated workflows • Leveraged Python, FastAPI, and scikit-learn for backend development and training tasks.