Hybrid AI Talent Intelligence Platform

Designed and shipped a hybrid talent-matching engine for Sedha Consulting that ranks candidates against open roles using a Three-Tier Ranking Algorithm — cosine similarity over spaCy 300-dimensional word vectors, weighted keyword bonuses, and categorical seniority/domain boosts.

Built an ETL pipeline to normalize unstructured resumes (PDF, DOCX) into structured profile vectors, with Llama 3.1 + Groq used for skill extraction and JD summarization. SVM classifiers refine candidate-role fit before final ranking.

Productionized as a Streamlit dashboard with aggressive caching strategies that reduced cold dashboard loads from ~30s to under 1 second, enabling recruiters to iterate live on shortlists.