dengjianbo

Led the Digital Transformation Institute, managing overall project management and team building to ensure efficient operation and timely project delivery. Utilized large models to build RAG and AGENT systems, optimizing information retrieval and knowledge management processes. Designed and implemented the operational architecture of large language model applications, providing technical support to multiple departments, including fruit quality control and human resources. Managed the AI video store monitoring module, achieving automated monitoring and anomaly detection through AI technology, enhancing store safety and operational efficiency. Coordinated cross-departmental communication and cooperation to ensure the smooth implementation and maximization of technical solutions. Conducted technical demonstrations and training to improve the internal team’s and clients’ understanding and application of new technologies. Successfully designed and implemented the overall architecture for large language model applications, ensuring efficient and stable system operation. Built and deployed the AGENT system, enhancing user experience and customer service quality through intelligent dialogues.

Led NLP algorithm development and optimization, continuously improving models. Devised data collection and annotation schemes, conducting relevant data mining and cleansing. Developed solutions tailored to business needs, including finance, new energy, and e-commerce scenarios. Kept abreast of the latest algorithm models and organized knowledge sharing sessions. Coordinated and led the data team, managing the data annotation team. Successfully completed various solutions, including address matching, organization name matching, and converting knowledge graph rules into natural language.

Led the vision algorithm team, solving complex vision problems. Developed and optimized ROS systems, enhancing system reliability and performance. Collected and organized data, creating detailed requirement solutions to ensure project progress. Successfully implemented innovative solutions such as visual tag-assisted positioning systems, parking environment lane detection, ground garbage recognition, speed bump detection, and traffic light visual recognition.

Solved complex data mining problems, demonstrating excellent analytical skills and technical expertise. Organized data and developed machine learning algorithms, improving data processing and model accuracy. Conducted Ethereum blockchain data analysis, identifying and monitoring exchange addresses and key addresses, showcasing research and analysis capabilities in a big data environment.