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    Hui Zheng

    Analytics and IoT Data Engineering - Machine Learning

    Hui Zheng is a Data Engineering Technical Lead and Principal Engineer at Semios, based in Vancouver, British Columbia, Canada.12 He has been in this role since February 2022, leading a Data Infrastructure/Engineering Team of 11 people.1

    Key aspects of Hui Zheng's work at Semios include:

    1. Re-architecting Semios' data platform using dbt, BigQuery, and Vertex AI since 2019.1
    2. Reducing data platform processing costs by 70% while improving efficiency and functionality.1
    3. Establishing multi-verse testing and blue/green release processes for the company's core data product.1
    4. Building Semios' new generation of omni data-platform for processing environmental data, IoT sensor, and control device data.1
    5. Productizing a moth detection machine learning pipeline and re-engineering IoT environmental data machine learning pipelines.1

    Prior to his current role, Hui worked as a Data Engineer at Semios from February 2019 to February 2022, where he was a founding member of the team that built the new data platform.1

    Before joining Semios, Hui held positions at Hootsuite Media Inc., Wave, and Deloitte Consulting, where he gained extensive experience in web analytics, data engineering, and business intelligence.1

    Highlights

    ‪Hui Zheng‬ - ‪Google Scholar‬
    Jan 1 · alcf.anl.gov
    Huihuo Zheng | Argonne Leadership Computing Facility

    Related Questions

    What are some of the key projects Hui Zheng has led at Semios?
    How did Hui Zheng's work at Hootsuite influence his career path?
    What technical challenges did Hui Zheng face when re-architecting Semios's data platform?
    How has Hui Zheng's work impacted the efficiency of Semios's data processing?
    What are the main components of the IoT environmental data machine learning pipeline Hui Zheng developed?
    Hui Zheng
    Hui Zheng, photo 1
    Hui Zheng, photo 2
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    Location

    Vancouver, British Columbia, Canada