Experience

  1. Machine Learning Engineer Intern

    Xiaomi
    • Built a Multimodal model from scratch for automotive component predictions (Regression Tasks).
    • Deployed an SQL database on Kubernetes for team access, designing an automatic data process pipeline for over 20000 images & tabulars.
    • Utilized the CLIP model, RGB histogram, and a self-trained denoising Auto-Encoder for image feature extraction.
    • Employed semi-supervised learning, reducing MAE by over 50%.
  2. Data Engineer Intern

    China Telecom Global Limited
    • Created Python scripts for automated analysis, improving generation speed of reports by 25%.
    • Visualized data using Neo4j to improve data insights.
  3. Research Assistant

    ROMI Lab, HKPolyU
    • Developed a neural network for object localization in ultrasound applications.
    • Attached deconvolutional layers to the end of ResNet18, creating the heatmap of targets to guide the robot arm.
    • Designed a robotic controller for automated ultrasound detection.
  4. Research Assistant

    Sharc Lab, Georiga Tech
    • Focused on algorithms of Federated Learning, a distributed Machine Learning algorithm.
    • Optimized the multi-device learning process based on the FedAvg model.
    • Applied a low-rank algorithm on the data communication to decrease the amount of data that needs to be sent.

Education

  1. MEng Electrical and Computer Engineering

    Cornell University
    GPA: 3.83/4.0
  2. BEng Electronic and Information Engineering

    The Hong Kong Polytechnic University
    Graduated with First-Class Honors.
Skills & Hobbies
Technical Skills
Python
Data Science
SQL
Machine Learning
Frameworks & Tools
TensorFlow
PyTorch
Docker
Linux
Awards
Languages
100%
English
100%
Mandarin
50%
Cantonese