Kai Sheng Lim

Software Engineer at GIC
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Contact Information
us****@****om
(386) 825-5501
Location
Singapore, SG

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Credentials

  • Learning How to Learn: Powerful mental tools to help you master tough subjects
    UC San Diego
    May, 2021
    - Nov, 2024
  • Introduction to Accounting Data Analytics and Visualization
    University of Illinois at Urbana-Champaign| Coursera
    Sep, 2020
    - Nov, 2024
  • Planet Earth...and You!
    University of Illinois at Urbana-Champaign| Coursera
    Jun, 2020
    - Nov, 2024

Experience

  • GIC
    • Financial Services
    • 700 & Above Employee
    • Software Engineer
      • Jan 2023 - Present

      Investment Services Public Market - Vertical (BPS)Skills: C#, .Net, OOP, React, REST API, MS SQL, CI/CD, test automation, and exposure to data visualization tools. Investment Services Public Market - Vertical (BPS)Skills: C#, .Net, OOP, React, REST API, MS SQL, CI/CD, test automation, and exposure to data visualization tools.

  • Institute for Infocomm Research
    • Singapore
    • Research
    • 300 - 400 Employee
    • Data Scientist
      • Apr 2022 - Aug 2022

      Project: Fully and Semi supervised computer vision deep learning scheme based on adversarial learning for image anomaly detection with data labeling using nnUnet, UnetR, and Vnet.• Ensured the experiments were accurate and reproducible.• Identified and formulated problems, handled experiments, benchmark, and analyzed results.• Worked towards publishing high-quality papers on mainstream AI conferences. Project: Fully and Semi supervised computer vision deep learning scheme based on adversarial learning for image anomaly detection with data labeling using nnUnet, UnetR, and Vnet.• Ensured the experiments were accurate and reproducible.• Identified and formulated problems, handled experiments, benchmark, and analyzed results.• Worked towards publishing high-quality papers on mainstream AI conferences.

  • Singapore Sports School
    • Singapore
    • Professional Training and Coaching
    • 1 - 100 Employee
    • Data Scientist
      • Nov 2021 - Dec 2021

      • Implemented different AI/ML models for institutional use.• Developed forecasting models using TensorFlow, Keras, Pandas, Scikit-Learn, and Auto-ML.• Analyzed trends and evaluated the various factors that were impacting students' performances using statistical model, and ML Pipeline.• Identified different models for feature engineering, and further optimized models for better accuracy. • Implemented different AI/ML models for institutional use.• Developed forecasting models using TensorFlow, Keras, Pandas, Scikit-Learn, and Auto-ML.• Analyzed trends and evaluated the various factors that were impacting students' performances using statistical model, and ML Pipeline.• Identified different models for feature engineering, and further optimized models for better accuracy.

  • Singapore Armed Forces (SAF)
    • Armed Forces
    • 700 & Above Employee
    • Platoon Commander
      • Jul 2018 - May 2020

      • Received “Certificate of Commendation” and “Outstanding Serviceman Award”• Published 4 training manual used extensively by higher management as “directives for conduct”• Managed accountability and maintenance of over $12.5M worth of military assets• Involved in planning for and executing training activities for the company to be operational• Examined operation strategies, including mission planning, forecasting, and recommending a course of action to increase efficiency and cut costs at the company level

  • NUS Yong Loo Lin School of Medicine
    • Singapore
    • Higher Education
    • 200 - 300 Employee
    • Cancer Researcher
      • Sep 2017 - Feb 2018

      • Assisted in research paper publishment and provided feedbacks for manuscripts.• Ascertained key growth areas and presented insights to supervisor to optimize research.• Carried out extensive protein research and key experiments to establish models’ validity and practical applications for cancer treatment• Gathered relevant information from research data and took various approaches to tackle research problem • Assisted in research paper publishment and provided feedbacks for manuscripts.• Ascertained key growth areas and presented insights to supervisor to optimize research.• Carried out extensive protein research and key experiments to establish models’ validity and practical applications for cancer treatment• Gathered relevant information from research data and took various approaches to tackle research problem

Education

  • Nanyang Technological University
    Bachelor of Engineering - BE, Computer Science
    2020 - 2024

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