Pham Thanh

I’m a software engineering student focused on building full-stack applications with a strong backend and AI edge—designing REST APIs, modeling data, and shipping AI-integrated workflows. In my Backend AI Engineering internship, I’m joining a backend AI track to build RAG pipelines, agents, and REST APIs as the core engine behind AI-powered product workflows, with emphasis on integration, data processing pipelines, automation, and debugging.

I bring practical momentum from projects that translate machine learning into usable products: a one-class retail product detection pipeline using YOLOv8 with human-in-the-loop labeling in CVAT, and an “Expense Intelligence Platform” that combines keyword matching with Python FastAPI embeddings and human-in-the-loop validation plus telemetry for future training. I’m actively improving performance through augmentation and threshold tuning, and I’m looking to contribute as a full-stack developer while building toward a long-term focus in AI engineering.