Tsun Yat Leung

Software Developer at Cassini Systems
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Contact Information
us****@****om
(386) 825-5501
Location
Reading, England, United Kingdom, GB

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Credentials

  • Machine Learning Engineer Nanodegree
    Udacity
    Oct, 2017
    - Nov, 2024
  • Data Manipulation at Scale: Systems and Algorithms
    Coursera
    Mar, 2017
    - Nov, 2024
  • Machine Learning Specialization
    Coursera
    Feb, 2017
    - Nov, 2024

Experience

    • United Kingdom
    • Financial Services
    • 1 - 100 Employee
    • Software Developer
      • May 2022 - Present

    • Hong Kong
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Senior Research Engineer
      • Apr 2021 - Jan 2022

      - Improved Python-based speech analytics applications with the latest machine learning technique, e.g. using the end-to-end speaker diarization system with the additive margin penalty.- Assist the research scientists on speech-related research, e.g. Speaker Diarization, Speaker Verification, and Speech Recognition.- Package speech analytics applications with docker for deployment.- Published a paper at the Interspeech 2021 Conference about the improved end-to-end speaker diarization system.

    • Software Engineer
      • Jul 2017 - Apr 2021

      - Developed chatbot and speech analytics applications with Python and integrated them with the latest machine learning technique.-Assist the research scientists on speech-related research.- Package and deploy applications with docker.- Developed the NLP intent classifier for the chatbot product with Keras.- Developed the traditional clustering-based speaker diarization system with Kaldi and Pytorch.- Developed the speaker verification system with Pytorch.- Published a paper at the ASRU 2019 Conference about an improved system which aims to find out when the common speaker spoke given a batch of audio recordings.

    • Netherlands
    • Truck Transportation
    • 1 - 100 Employee
    • Assistant Technical Analyst
      • Jul 2016 - Jul 2017

      - Developed Machine Learning-related Application using Python, e.g. predicting the estimation time of vessel arrival based on geospatial data, detecting different abnormal vessel events in real time- Analyse Vessel Data with NumPy, Pandas, Elasticsearch- Develop Web application for visualization and CRUD- Package applications with docker- Handle ad-hoc technical problem - Developed Machine Learning-related Application using Python, e.g. predicting the estimation time of vessel arrival based on geospatial data, detecting different abnormal vessel events in real time- Analyse Vessel Data with NumPy, Pandas, Elasticsearch- Develop Web application for visualization and CRUD- Package applications with docker- Handle ad-hoc technical problem

    • Summer Internship
      • Jun 2015 - Aug 2015

      Using Java, Js, Spring MVC, ExtJs to create a web application for supporting CRUD operations. Using Java, Js, Spring MVC, ExtJs to create a web application for supporting CRUD operations.

Education

  • 香港大學
    Bachelor of Science - BS, Physics, Computer Science
    2012 - 2016

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