General Information

Full Name Ho Cheong Michael Tang
Languages English, Chinese, German (basic)


  • 2023
    MS Computational Science & Engineering
    Georgia Institute of Technology
    • GPA 4.0/4.0
    • Project: Improving the scalability of machine learning model serving in soft real-time systems
  • 2021
    BS Physics
    University of Hong Kong
    • GPA 3.76/4.0
    • Thesis: Using maximum likelihood estimation to measure electron charge flip rate at the ATLAS detector


  • Apr 2024 - Present
    Data Scientist I
    General Motors Financial
    • Perform comprehensive data analyses to help stakeholders make data-informed business decisions.
    • Facilitate transition of customer risk scoring models to LightGBM from traditional scorecards.
  • May 2023 - Aug 2023
    Data Science Intern
    General Motors Financial
    • Enhanced customer risk scoring model by implementing SMOTE oversampling technique, achieving 5% higher AUCROC.
    • Conducted research to perform feature selection for customer scoring model with PySpark, XGBoost and SHAP.
    • Effectively communicated research findings to both external model auditing groups and internal technical teams.
  • Jan 2023 - Dec 2023
    Graduate Research Assistant
    Georgia Institue of Technology
    • Spearhead data engineering efforts for campus meter data infrastructure, encompassing approximately 10000 meters.
    • Implement CI/CD and data pipelines utilizing Docker and Apache Airflow to streamline ETL processes.
    • Lead team of 8 in development of dashboards in React and Flask, providing intuitive data visualizations to stakeholders.
    • Assist in geospatial model development for simulating energy trends within Atlanta region using Postgres & PostGIS.
  • Jun 2021 - Aug 2022
    Full Stack Developer
    Meta Air Labs Ltd.
    • Led team of 4 to design and build high-throughput cryptocurrency transaction systems with Kafka and Python on AWS, supporting a sustained load of 2,000 transactions per second.
    • Planned and executed performance tests with JMeter to identify and address underlying system-wide bottlenecks.
    • Utilized Grafana to create real-time dashboards, simplifying system monitoring and enhancing user insights.
  • Jul 2019 - Jun 2020
    Fintech Intern
    Dah Sing Bank Ltd.
    • Assisted in development of new E-Banking system using Java Spring Boot and Angular with Agile methodologies.
    • Implemented CI/CD pipelines in Jenkins to automate release builds, enabling rapid software iterations.
    • Undertook critical architectural tasks, including infrastructure design, firewall configuration and data migrations.


Machine Learning Probability & Statistics, Data Visualization, Model Serving, LLMs, Deep Learning
Programming Python, SQL, PyTorch, Scikit-learn, Numpy, Matplotlib, C++, NodeJS
Platforms & Applications Linux, Docker, CI/CD, AWS, Spark, Kafka, REST API, SAS, Tableau, Git, Ray

Other Interests

  • Hobbies: Weightlifting, mountain-biking, reading