Ying Han Chen

Developed an enterprise-scale RAG pipeline with cloud-based AI vector search using Azure AI services, enabling AI-driven automation of knowledge retrieval and response generation, contributing over $100k in business revenue. Designed and implemented an enterprise-scale AI agent with Azure AI Foundry, Azure Agent Service, and LLM orchestration for real-time sales insights and recommendations, showcasing AI-driven decision automation for data-driven business insights.

Engineered a full-stack e-commerce web application with dynamic web services using HTML, CSS, TypeScript, Node.js, Express.js, and MongoDB, boosting user engagement by 20% via subscription-based transactions. Deployed a scalable backend on AWS EC2 with Express.js and MongoDB, optimizing database queries for low-latency performance in high-volume CRUD RESTful APIs for e-commerce operations. Led daily cross-functional team meetings with 8 members, ensuring seamless front-end-back-end integration, enhancing development efficiency and code quality.

Developed a scalable financial report database using Python and SQL, processing data for over 100 clients, boosting operational efficiency by 30% through automated reporting. Enhanced software training manual, streamlining onboarding for interns, improving training efficiency and team productivity.