Chloe Kim

BEng in Computer Science, HKUST
Data Engineering Rust 🦀 Deep Learning

👶🏻 Seoul 🧒🏻 Kuala Lumpur 📚 Hong Kong 💻 Singapore

I'm a Software Engineer with BEng in Computer Science from The Hong Kong University of Science and Technology, HKUST.
Skilled in Rust, Python, Java, Machine/Deep Learning, and Web development. I'm experienced with Data Engineering
at Goldman Sachs and Dozer and also worked on Full Stack Web Development and various Machine Learning & Natural Language Processing (NLP) related projects.

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Dozer Singapore

Founding Software Engineer

Dec 2022
- Implemented various connectors for Postgres, Snowflake, Ethereum, gRPC ingestion, AWS S3, Kafka and Object stores which can deliver real-time data API with an average of 4.92 ms at a very high throughput of 10000 total requests at 50 concurrencies.
- Implemented inbuilt native SQL engine that supports real-time data transformations in streaming fashion with Rocksdb enabling multiple joins executed over 100 million records in 10 mins.
- Designed and implemented Stripe webhook with Rust Diesel integration for Dozer cloud deployment service using EKS and Minikube and developed snapshotting checkpointing functionality for object stores such as AWS S3 and Deltalake.
- Participated in various conferences and events as a founding software engineer to demonstrate Dozer - Big Data & AI World Singapore, Big Data Conference Europe, and APIdays Paris.
Goldman Sachs Singapore

Analyst

July 2020Dec 2022
- Implemented and opensourced big data milestoning component library which takes multiple types of source and target. Integrated with Ansi, H2, MemSQL and Snowflake.
- Contributed towards opensourced Legend for user enablement for testing on data modelling tool called Studio using service called persistence integrated with milestoning library.
- Improved stability, scalability, availability and latency by developing platform-based data reliability for Alloy Streaming (big data ETL platform) and Product Data Engineering space using Java, Prometheus, Thanos, Grafana.
- Experienced in handling Kafka distribution system embedded in ETL platform with Kubernetes.
Centre for Artificial Intelligence Research (CAiRE), HKUST Remote

Web Developer

Apr 2020Apr 2020
- Designed and implemented full stack CAiRE-COVID project website for Centre for Artificial Intelligence Research (CAiRE). Check out the website!
Monan-Hanquoc Remote

Full Stack Web Developer

Feb 2020Mar 2020
- Developed a Full Stack Web Application for Monan-Hanquoc.
J.P. Morgan Chase Hong Kong

Summer Analyst

Jun 2019Aug 2019
- Developed a Personalized Recommendation System based on collaborative filtering with user clustering algorithm to improve client’s user experience on international private bank website using Python, Java, Angular.
- Flask API of this Inference Service was deployed on Gaia (JPMC’s cloud service) which enabled firm-wide application.
Imago.AI Hong Kong

Artificial Intelligence Researcher

May 2018Aug 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 2017Mar 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 2016Aug 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.

Fake News Detection Hong Kong

Final Year Project

May 2018May 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 2018May 2019
- 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.
- Took full responsibility as a CEO to lead and manage the core logistic process, financial records, retail sales and rent team activities.
Big Data Analysis Society Hong Kong

President

Sep 2017Jun 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.

Technical Skills

Java Python Rust PyTorch Tensorflow SQL Go C++ Kubernetes Prometheus Grafana

Language Skills

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

J.P. Morgan Chase & Co. Internal Innovation Week Hackathon 2019 Winner (JPMC Trends) 2019

SmarTone Hackathon 2018 “Smart Properties”, Interactive Property Chatbot - Top 3 Project 2018

Targeted Scholarship under HKSAR Government Scholar Fund, Full Scholarship 20162020

Admission Scholarship from HKUST, Full Scholarship 20162020

Dean’s List from HKUST 20162019

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

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