Rui Wang
Sr. AI Algorithm Engineer
M.Eng. Arizona State University
Sr. AI Algorithm Engineer
M.Eng. Arizona State University
Ever since I wrote my first program on a 386 computer using the LOGO language in elementary school, I have been fascinated by the field of computers. Driven by my passion and enthusiasm, I have dedicated my studies and career to this industry, witnessing every technological revolution along the way. Today, as humanity steps into the age of AI and technology reaches unprecedented heights, I hope to contribute my efforts and work alongside you to ignite a transformative era and create a vibrant chapter of hope.
I hold a Master of Engineering degree from Arizona State University and am an experienced Senior Large Model Engineer specializing in the development and application of large language models, including RAG applications, chatbots, and knowledge base systems. I am passionate about new technologies in the AI field and dedicated to applying cutting-edge techniques to solve real-world problems.
Proficient with the LangChain framework for large model development, including local Q&A systems, chatbots, knowledge bases, and other common RAG applications. Mastered techniques such as Chain processing, Agent intelligent agents, Function Calling/Tool Use.
Proficient in common NLP tasks such as document search, named entity recognition (NER), and sentiment analysis. Skilled in using search engines like Solr and ElasticSearch, with an understanding of the underlying Lucene search framework.
Experienced in developing applications based on recommender systems using common algorithms. Knowledgeable in leveraging large models within recommender systems.
Proficient in data processing frameworks such as Numpy and Pandas. Experienced with the Spark distributed framework for data cleaning, extraction, analysis, and cluster tuning.
Proficient in Python programming and frameworks like FastAPI and Flask. Knowledgeable in databases such as MySQL, ClickHouse, and Redis. Experienced with the Linux operating system and Docker containers.
Experienced in deploying private reasoning services for common open-source models and in distributed model training and inference using vLLM, FastChat, and DeepSpeed. Experienced in MLOps workflows, including using TensorRT-LLM for large model compilation and deploying related services on Triton.
Skilled in creating insightful data visualizations and dashboards using tools like Matplotlib, Seaborn, and Tableau to communicate complex data effectively.
Experience with major cloud platforms (AWS, Azure, GCP) for deploying and scaling AI applications, including serverless functions and container orchestration.
Understanding of AI ethics principles, fairness, accountability, and transparency in AI systems. Committed to developing responsible AI solutions.
Shanghai University AI Medical Joint Innovation Research and Development Center (Boai China Enterprise Group)
Jan 2024 - Present
LexisNexis
Jun 2017 - Dec 2023
Wealink
Apr 2016 - May 2017
Hanyou Network
May 2015 - Apr 2016
Kingnet
Mar 2012 - May 2015
Developed RAG Q&A systems and knowledge bases based on open-source large models, fine-tuned for specific industries.
Utilized machine learning (Learning to Rank - LTR) methods to train models and Rerank methods to optimize search results, enhancing search experience.
Performed NER identification for legal entities such as case numbers and company names, trained models, deployed recognition services, and compared results with large model recognition.
Modeled after ELK architecture, cleaned and processed front-end data into ElasticSearch and ClickHouse. Capable of handling user log data at the 10 billion record level.
A system that handles cross-referencing of articles and builds links. Analyzes citation relationships among billions of documents and provides relevant recommended articles using NLP.
Developed a tool leveraging generative AI models to assist in creating various types of content, including articles, summaries, and creative text.
Below is a snapshot of my GitHub activity.
If you are interested in my work or have any collaboration inquiries, please feel free to contact me through the following channels.