https://www.dezi.ai/

• Engaged in Siemens global AI strategy, integrated LLMs into current products and developed several AI prototypes and reports. • Participated in Simcenter Recommendation system development, contributed labeling system development, which significantly improve recommendation result in simulation design, helping users save 60%-70% time.• Using Qt complete GUI development, multiple-threading skill avoid lags caused by data loading, based on Azure OpenAI utilized Prompt Engineering to summary insight data from 1.7GB documents for graph DB.• Developed AI RAG chat system based on AWS service, allow users embedding outside documents, and get guidance from LLMs. • Decrease company cost of internal platform, by providing opensource LLMs solution (Hugging face, llama-cpp, llama2)

• Developing a full-stack web app from scratch, by implementing React framework and Redux as a state management tool, Bootstrap, and ReCharts, Sass as a visualization tool, and Enzyme as s testing tool. • Deployed AWS CloudFormation stack at EC2 and Mysql database at AWS-RDS. • Integrated Google, Facebook, and Apple OAuth 2.0 Authentication APIs to simplify the new user’s implementation. • Wrote routine documents and contributed coding experience with teammates in Jira and Confluence.

• Created a Smart UAV Patrol controlled by Raspberry Pi and Cloud by 5G module.• Designed an algorithm with OpenCV2 for judging illegal and YOLO V4 model to detect different items on the road. • Based on Onenet IoT Cloud platform, storage real-time data (Text, Pictures, Videos) in the cloud server.• Developed a Webapp with React Framework and visualize data with JavaScript interactive library Apache Echarts. • Given roadshows and raised money in Tianjin city widely reported by Tianjin Television Station.

• Participated in and finished intern project “Medical Information Management System” for hospitals to conduct medical data.• Designed a friendly front-end for attendance, economic management, and general management by Vue and Element-UI.• Using Spring Boot build RESTful API, applied Redis cache data to reduce query pressure and optimize speed of MySQL.• Use Hadoop HDFS to store large amounts of log data, use Hadoop for large-scale data processing, and finally store the resultsin HBase and build an API front-end display.• Utilized Junit for unit test and Postman for API testing, reviewed code, verified software robustness and system reliability.