Le Dinh Nhiem

Developed an intelligent chatbot system to process and interact with a vast collection of internal company documents across diverse formats. Leveraged Retrieval-Augmented Generation (RAG) to enable users to query and retrieve precise and contextually relevant information from the ingested knowledge base.

Developed an intelligent chatbot application tailored for restaurants, enabling users to inquire about restaurant information, menu items, and order status through natural language interaction. Integrated the chatbot with restaurant management systems to handle customer requests in real time, enhancing both customer experience and operational efficiency.

Maintained and extended an existing ERP platform used by logistics centers, implementing new functional modules. Optimized system performance and improved scalability to support expanding operational demands and business growth.

Designed and developed an intelligent robotic assistant equipped with voice and facial recognition, integrated with a Retrieval-Augmented Generation (RAG) system. The robot autonomously navigates its environment and interacts naturally with users to provide information support, give directions, and engage in casual conversation or entertainment.

Developed a project related to Pet's health management, incorporating AI to analyze pet's health using test results. The project also involved image processing and OCR to extract and analyze data from medical images and documents.

Built a scheduling system for the University of Science and Technology using mathematical models to optimize course timetables. Developed a web-based application for managing schedules and integrated an LLM-powered chatbot to assist with academic inquiries.

Developed a project related to the Automatic Speech-to-Text Data Entry System. Focused on developing advanced speech recognition technology to enhance data management and streamline data entry processes.

Developed a project related to the management and optimization of supply chains across various European countries. Leveraged advanced technologies, optimization algorithms, statistical analysis, and comprehensive reporting tools to enhance the overall performance and effectiveness of supply chain operations.

Analyzed and automated data processing processes in the company's supply chain department. Set up extract, transformation, and load data pipelines for clients for visualization, and solved optimization scenarios.

Grade: Excellent (GPA: 3.82/4.0)

Completed a comprehensive engineering program with a focus on industrial and system engineering. Achieved an excellent academic standing with a GPA of 3.82/4.0.