At Eziline, I developed and tested software modules, and built and evaluated Machine Learning and Deep Learning models using Python. I also supported AI/ML project work, including data preparation, model training, and testing.
I built JobPilot, a full-stack agentic AI application that parses resumes, fetches live listings from legal job APIs, and scores jobs through embedding-based semantic matching. It includes a LangGraph agent layer, a RAG pipeline over user documents, and tools for creating tailored resumes and cover letters.
I also developed the XJMU AI Consultant, which uses large language models and retrieval workflows to provide context-aware guidance. For Green Vision, my final year project, I built an AI-driven monitoring system for smart parks using machine learning and computer vision to detect and track environmental and safety conditions.
