About Me

Hey, this is Frank.

Frank Tianyu Zeng

Work Experience

  • Hive AI (San Francisco, CA)

    Software Engineer, Feb 2020 - Present

    • Develop and scale out data labeling solutions, delivering actionable insights in an intelligent manner to enable a data-driven decision-making culture for internal and external clients
    • Design, build, and maintain ETL pipelines from the ground up that instrument new functionality such as automatic data sourcing, pipeline auditing, and data repopulation
    • Drive and lead complex, large projects independently, partnering with product managers and other stakeholders to understand business requirements and craft technical solutions
  • UW-Madison

    Reseach Assistant, Aug 2018 — May 2019

    • Implemented the REST APIs with PHP, SQL and MySQL for online care-giving services.
    • Developed a fully functional prototype application using JavaScript and Bootstrap and launched campus-wide.
    • Implemented a Naive Bayes model in Python to predict psychological risk and achieved 82% accuracy.
  • CUNA Mutual Group

    Data Analytics Scientist Intern, Jun 2018 - Aug 2018

    • Developed an internal dashboard that was adopted by managers to visualize results from sentiment analysis.
    • Designed a web crawler with Twitter API that recursively retrieved 10k user comments and stored in MySQL.
    • Implemented a Gradient Boosting Decision Tree to predict the severity of insurance claims and reduced MSE by 15%.
    • Performed feature engineering on large data sets in Spark and facilitated the development of statistical models.


  • University of Wisconsin - Madiosn GPA: 3.27/4.0

    B.S. in Computer Science, Statistics, and Mathematics, May 2012


  • Java, JavaScript, SQL, Python, Go

  • Node.js, Express.js, RabbitMQ, PostgreSQL, AWS, Git, Docker, Jenkins