CV

Education

• B.S. in Mechanical and Electronical Engineering, Shanghai University, 2006
• Ph.D in Physics, University of Paris-XI, France & Nanjing University, China, 2011

Work experience

1/2023 – Now: Software Developer Engineer, Amazon AWS

4/2020 – 1/2023: Data Scientist / Machine Learning Engineer, SFL Scientific, a Deloitte Business

7/2019 – 4/2020: Data Scientist, MindMics Inc

8/2011 – 6/2019: High Energy Physics Researcher, The ATLAS Experiment, European Organization for Nuclear Research (CERN)

Skills

• Machine Learning: PyTorch, Tensorflow, SciKit-Learn, HuggingFace, Langchain, MLOps, Vector Databases
  • Natural Language Processing: Large Language Models, GPT, GPT-2, BERT
  • Computer Vision: Object Detection, Object Segmentation, 3D Human Reconstruction, Vision Transformer
  • Statistical Analysis: Statistical Inference, Hypothesis Testing, Exploratory Data Analysis
• Coding: Python, C++, Java, Shell
• Other skills: Docker, Git, Latex

Projects

Detectron-2 Model Retraining

From Depth Maps to 3D Point Clouds: Data Conversion

Tiny Story Generator: Fine-tuning “Small” Language Models with PEFT

Document Parsing and Question Answering with LLMs Served Locally

Blog Posts

Understanding LLM through the LLaMA Models

29 minute read

Understanding Optimizers in ML Model Training

6 minute read