I developed a job discovery platform using FastAPI, React, and PostgreSQL, with automated ATS scraping, semantic matching, and Kanban application tracking. Its matching engine combined cosine similarity with a skill taxonomy, and its task pipelines handled job scraping and deduplication.
I also developed an AI-powered nail disease detection application using a CNN DenseNet 121 architecture, reaching approximately 95% classification accuracy. During my Machine Learning internship at IBM SkillsBuild, I engineered a sentiment classification pipeline and evaluated Logistic Regression and Support Vector Machine models.
