Education

  • Master. in Data Science, Machine Learning and Statistics
    • Uppsala University, Sweden, 08.2020 ~ 08.2022
  • Bachelor. in Science, Information Systems
    • Dalarna University, Sweden, 08.2019 ~ 08.2020
  • Bachelor. in Engineering, Software
    • Jiangxi University of Finance and Economics, China, 09.2016 ~ 06.2020

Experience

  • NLP Researcher     Zhuiyi Technology Co., Ltd.      09.2022 ~ Now
    • Contributed to the design of a SaaS-based enterprise intelligent customer service platform which involves task-oriented(finite state machine), skill-based(external API service), FAQ(semantic matching&knowledge graph), document retrieval(semantic matching), and information retrieval(web crawler) chatbots.
    • Building an education platform that is a dialogue logging system for intent and task mining, conversation analysis, and potential business opportunities mining, aiming to enhance the user experience.
    • Conducted an in-depth investigation into the application of semantic models in information retrieval.
    • Participated in the design of fine-tuning strategies for LLM models, contributing to their overall performance and effectiveness.
    • Developing an LLM experience platform from scratch, including architecture designing, data modeling, user authentication, license issuance, and container orchestration.
  • Master Thesis Student      Annika Waern’s Lab      01.2022 ~ 07.2022
    • The intention of the project was to develop an AI-based system that reduces the cost and ensures the effectiveness of physical therapy by providing training schedules and correcting wrong patient motions.
    • A solution of utilizing human motion sensor to collect data and do motion recognition for patients with deep learning model and transfer learning methods.
    • The final outcome demonstrated the effectiveness of the solution. Its rapid fine-tuning speed and accurate motion recognition rate exceeding 80\% have met the satisfaction of the lab. Consequently, the laboratory has decided to continue utilizing and researching this solution.
  • Research Assistant      UU-InfoLab      10.2021 ~ 01.2022
    • Applied machine learning to explain image classification algorithms. VGG, ResNet and explainability AI(XAI) tools such as Grad-CAM and LIME were used.
    • Conducted transfer learning on various image categories on the YouTube Dataset. Have a deep understanding of transfer learning and usages, which plays an important factor in master thesis research.
    • Provide explainability methodology for social scientists understand how deep learning model classify images.
  • Data Engineer (Intern)      Huawei Technologies Co., Ltd.      06.2021 ~ 09.2021
    • Assist in the completion of WDM data analysis, design algorithms to find out the same routing problem; Helping network operation and maintenance personnel improve the accuracy and efficiency of judging multiple bare fiber single-point problems, which has been recognized by business executives.
    • Design intelligent QA-chatbot framework and algorithms (logistics regression algorithm, deep learning model). The intelligent question answering robot has good initial performance, high answer accuracy, and fast speed.
  • Teaching Assistant      Jiangxi University of Finance and Economics      09.2018 ~ 02.2019
    • Solve the question of students related to statistics in Data Analysis and Statistics.
    • Introduce basic R language to students and basic knowledge of statistics.

Awards

  • Outstanding Graduates, Pacemaker to Merit Student, Outstanding League Cadres, Excellent Student Cadre, Awarded in Jiangxi University of Finance and Economics.
  • National Encouragement Scholarship, Awarded in 2018, 2019.
  • Dalarna University’s scholarship, Awarded in 2019.
  • The 4th National College Mobile Internal Application Development Innovation Contest, National Level Award of Excellence.

Skills

  • Programming Languages: C/C++, Python, Golang, Shell R, SQL, Java, Minizinc, Dart, PHP
  • Frameworks: PyTorch, Tensorflow, Langchain, Streamlit, Django, Spark, Ray, Hadoop, Triton
  • Developer Tools: Git, Docker, Kubernetes, OpenStack, LaTeX
  • Databases: MySQL, ElasticSearch, Redis, Minio, Etcd, Milvus, MongoDB