Chloe Kim

BEng Computer Science, HKUST
Deep Learning | NLP | Data Visualization

πŸ‘ΆπŸ» Korea | πŸ§’πŸ» Malaysia | πŸ“š Hong Kong


I'm undergraduate student studying Computer Science in Hong Kong University of Science and Technology (HKUST).
Skilled in Python, C++, Machine/Deep Learning, and Web development. I previously worked on the Web Development and various Machine Learning & Natural Language Processing (NLP) related projects.

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Experiences


  • JP Morgan Chase   Hong Kong

    Incoming Technology Summer Analyst

    June 2019 -



  • Imago.AI   Hong Kong

    AI Researcher

    May 2018 – Aug 2018



    - Implemented a Neural Question & Answering model based on Bi-directional Attention Flow architecture with additional Self-attention mechanism to improve localization precision for pointer network, on SQuAD and MS MARCO dataset. Demo available here!
    - Implemented a Chinese Named Entity Recognition model using Bi-directional LSTM with CRF on Hong Kong address dataset.

  • Aromeo   Hong Kong

    Part Time Web Developer

    Sep 2017 – Mar 2018



    - Developed Full-stack interactive web application with Node.js and React.js as an admin management console.
    - Designed and modelled the initial PostgreSQL database structure for server-side development.

  • Whereami, HKUST   Hong Kong

    UG Researcher

    Jun 2016 – Aug 2016



    - Improved the indoor localization Android application using additional embedded geomagnetic positioning system.
    - Evaluated various localization technologies, such as GPS, geomagnetic, and Wi-Fi based positioning system, to improve indoor localization precision.


Projects


  • Fake News Detection   Hong Kong

    Final Year Project

    May 2018 – May 2019



    - Proposed a comprehensive and diverse neural network-based model for fake news detecting system consisting of text, multi-modal(text-and-image), and query modules.
    - Suggested an alternative claim & evidence based approach of fact checking for fake news detection using BiDAF model for localization within evidence context and Allen NLP Decomposable Attention model pipeline.
    - Implemented Flask web application to integrate the system with trained models into an exportable API.

  • BundlePort   Hong Kong

    CEO / CTO

    Jan 2018 – May 2019



    - BundlePort is a convenient and affordable shipping service provider to order products from Korea.
    Built up IT infra, UI/UX, Node.js backend for web application.
    - Developed Full-stack web application focusing on enhancing UI/UX using Node.js and MySQL, and deployed on cloud server using AWS EC2, S3, Elastic Beanstalk, and CloudFront. Check out our website!

  • Big Data Analysis Society   Hong Kong

    President

    Sep 2017 – Jun 2018



    - Organized and instructed in group events to promote learning of basic Tensorflow, R, and Data Visualization.
    - Participated in Aviation Data Analysis Competition held by Korea Airport Corporation.


Skills


  • Technical Skills

    Python | PyTorch | Tensorflow | Scikit-learn | C++ | HTML5 | CSS | Bootstrap | Node.js | React | SQL | Java


  • Language Skills

    English (Fluent) | Korean(Native) | Mandarin (Intermediate)


Honors and Awards


  • Targeted Scholarship under HKSAR Government Scholar Fund, Full Scholarship, 2016-2020

    Admission Scholarship from HKUST, Full Scholarship, 2016-2020

    Dean’s List from HKUST, 2016

    Certificate of Mensa International Membership from Mensa International, High IQ society, 2015