Zhanhao Liu 💻
Zhanhao Liu

Software Engineer

Labs @ Google

About Me

Zhanhao Liu is a Senior Software Engineer at Google, specializing in GenAI Agents, Blockchain systems, and Identity Management. With a strong background in distributed systems and machine learning, he has led multiple high-impact projects including the development of AI agents for automated web testing, a planet-scale blockchain system, and secure identity management solutions. His expertise spans across system design, technical leadership, and full-stack development, with a particular focus on scalable and efficient solutions for complex technical challenges.

Interests
  • GenAI Agent
  • ML System
  • Blockchain
Education

  • MSc in Computer Science

    Georgia Institute of Technology

  • BSc in Computer Science

    Chinese University of Hong Kong

Experience

  1. Senior Software Engineer

    Google
    • Core Labs - Research and develop AI agents leveraging the latest computer-use LLM models to fully automate web testing, replacing manual QA processes with intelligent test generation and execution.
    • Core Labs - Developed a planet-scale blockchain system with 1M+ TPS
    • CoreID - As Tech Lead, led a team of 10 engs to built scalable and trusted identity and access management services for Alphabet

  2. Teaching Assistant & Research Assistant

    Georgia Tech
    • CS 4400 Introduction to Database Systems (Spring/Fall 2019)
    • CS 8803 DML: Data Management and Machine Learning (Fall 2018)
    • Approximate ML via Importance Sampling
    • Automated Feature Engineering: Third Prize in KDD Cup 2019 AutoML Track

  3. Application Engineer Intern

    Google
    • Modeling and prediction of financial time series data via ML

  4. Research Intern

    SenseTime
    • R&D on large-scale ML system

Education

  1. MSc in Computer Science

    Georgia Institute of Technology
    • Grade: 4.0/4.0
    • Specialization: Computing Systems
    • Advisors: Prof. Xu Chu

  2. BSc in Computer Science

    Chinese University of Hong Kong
Projects
KDD Cup AutoML Challenge
KDD Cup 2019 ∙ August 2019
3rd prize worldwide in developing AutoML solution for temporal relational data classification with a team of researchers from Alibaba Group and Georgia Tech
FlexPS: Flexible Parallelism Control in Parameter Server Architecture
VLDB 2018 ∙ January 2018
  • Built FlexPS, a Parameter Server system with flexible parallelism control
  • Achieved 400% speedup vs Spark MLlib in k-means++ implementation
  • Optimized sparse data communication, reducing server time by 45%
Publication
Yuzhen Huang, Xiao Yan, Guanxian Jiang, Tatiana Jin, James Cheng, An Xu, Zhanhao Liu, Shuo Tu (2019). Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. In USENIX ATC 2019.
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