Chu-Fei Luo

Masters Student at Ingenuity Labs Research Institute
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Contact Information
us****@****om
(386) 825-5501
Location
CA

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Credentials

  • Machine Learning with Python - Level 1
    IBM
    Jun, 2019
    - Nov, 2024
  • AWS Certified Developer – Associate
    Amazon Web Services (AWS)
    Jun, 2020
    - Nov, 2024
  • AWS Certified Solutions Architect – Associate
    Amazon Web Services (AWS)
    May, 2020
    - Nov, 2024

Experience

    • Canada
    • Research Services
    • 1 - 100 Employee
    • Masters Student
      • Sep 2021 - Present

    • Canada
    • Research
    • 1 - 100 Employee
    • Masters Student
      • Sep 2021 - Present

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software Developer
      • Dec 2020 - Sep 2021

    • L2 Support
      • Jun 2019 - Dec 2020

      - Specialized support for IBM’s QRadar SIEM, used linux command line to diagnose issues- Subject Matter Expert for leading application, User Behaviour Analytics - helped with case analysis, defect tracking, public-facing documentation- Led live troubleshooting sessions between clients and developers, helped identify causes of errors in the system and ensured quick and smooth resolutions- Focus on Python, Docker, Bash, PSQL, REST API queries

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Software Developer - Motor Function Measurement Lab
      • Oct 2019 - Jun 2020

      - Helped implement full stack mobile application, including REST API and native frontend - Used Python, Google Firebase NoSQL db, Flutter - Helped implement full stack mobile application, including REST API and native frontend - Used Python, Google Firebase NoSQL db, Flutter

    • Canada
    • Biotechnology Research
    • Electrical Team Member
      • Sep 2018 - Jun 2019

      - Designed and implemented control systems for pneumatic soft robotics technology - Used Arduino microcontrollers - Designed and implemented control systems for pneumatic soft robotics technology - Used Arduino microcontrollers

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Summer Research Student
      • May 2018 - Aug 2018

      - Funded by NSERC’s USRA scholarship, conducted research on Machine Learning and Deep Learning techniques applied to NLP and Signal Processing - Used Keras, logistic regression to detect multimodal sarcasm - Funded by NSERC’s USRA scholarship, conducted research on Machine Learning and Deep Learning techniques applied to NLP and Signal Processing - Used Keras, logistic regression to detect multimodal sarcasm

Education

  • Queen's University
    Bachelor of Applied Science - BASc, Computer Engineering
    2015 - 2019
  • Queen's University
    Master's degree, Computer Engineering
    2021 -

Community

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