CV

Education

• Ph.D in Efficiency of Large Language Models, University of Amsterdam, 2023 - 2027 (expected). Visiting PhD researcher at University of Copenhagen, Denmark (2025), through the ELLIS PhD program
• M.S. in Artificial Intelligence, University of Amsterdam, 2020 - 2022. Cum Laude (With Distinction), GPA: 8.2/10.
• B.Eng. in Computer Science, Beijing Jiaotong University, 2015 - 2019. GPA: 91/100. Exchange at Queen Mary University of London, London, the United Kingdom (2018).

Work experience

• SEP/2022 – NOV/2022: AI Fellow
• Pi School, Rome, Italy

• Duties included: Conducted multilingual visual document information extraction, achieving 87% accuracy in task completion.

• JUL/2021 – SEP/2021: Data Scientist Summer Intern
  • Data Science Lab at KPN, Amsterdam, the Netherlands
  • Duties included: Developed an aspect-based emotion detection pipeline for customer contact analysis.

Skills

• Programming: Python (Advanced) (PyTorch, Hugging Face, HELM, LitGPT), Java (Familiar)
• Version Contrl and ML Project Management: Git (branching and merging), MLFlow, WandB
• Other Tools: Linux (basic commands and scripting), Docker, Hadoop (beginner)
• Languages: English (working proficiency), Chinese (native), Cantonese (native), Dutch (A2)