About Me

Passionate AI/ML engineer with expertise in creating state-of-the-art models, deploying high-performance inference engines, and applying LLM, NLP, CV, RL, etc AIs across diverse fields including astronomy, healthcare, quantum system, finance, weather forecast, environmental and more.

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Experience

Software Engineer - Google

2023 - Present

  • Google AI Edge: introduced large language models similar to ChatGPT to execute locally on device such as smart phones, and allowed highly privacy secured usage and offline capability.
  • Chrome Built-in AI: Implemented and optimized inference engine dedicated for on device environment, accelerated the performance to match with day-to-day real-world user experience expectation
  • Designed and aligned the inference engine system to state of the art AI and ML researches, to incorporate newly published techniques in a rapid iteration pace
  • Software Engineer - MyCareLinq

    2023 - 2023

  • Integrate human-computer interface systems for health care related monitoring.
  • Software Engineer Intern - Google

    2022 - 2022

  • Developed TFlite model tensor extractor and metadata writer.
  • Established a comprehensive rule and incorporated into an identifier to classify ML model use cases with hierarchy rule applying approach which covers 100% of common tasks published in task library.
  • Utilized tensor extractor, metadata writer, task identifier along with other corresponding tools and integrated a C++ code generator which automatically produce C++ and Python inference codes for any common TFlite models.
  • Education

    M.S. in Computer Science

    University of Southern California

    United State

    Specializations: Artificial Intelligence and Machine Learning

    4.0/4.0

    M.S. in Electrical and Computer Engineering

    University of Waterloo

    Canada

    Focus: Machine Learning and Artificial Intelligence

    3.9/4.0

    B.S. in Computer Science

    National Central University

    Taiwan

    3.8/4.0

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