©   Chloe Kim   All Rights Reserved.

Chloe Minkyung Kim

BEng in Computer Science, HKUST
Data Engineering Deep Learning

👶🏻 Seoul 🧒🏻 Kuala Lumpur đź“š Hong Kong đź’» Singapore

About


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

DOWNLOAD CV

Experiences


  • Goldman Sachs Singapore

    Associate

    April 2024Present



    • Leading the design and implementation of the Lakehouse platform — a unified architecture combining the flexibility of a data lake with the performance, structure and governance features of a data warehouse.
    • Built core ETL/data-ingestion pipelines and data transformation frameworks in Java, SQL and Pure, working with Snowflake, Legend and Alloy to integrate global business domains.
    • Introduced end-to-end data latency improvements: transitioned from multi-day latency to minutes for globally distributed datasets, enabling near-real-time analytics and decision-making.
    • Elevated data governance, metadata management and lineage across the platform — helping to establish the Lakehouse as a single source of truth (SSOT) for upstream analytics and downstream applications.
    • Positioned the platform for general availability (GA) by end-of-year, coordinating architecture, compliance, operational readiness and cross-regional rollout.
  • Dozer Singapore

    Founding Software Engineer

    Dec 2022



    • Architected and implemented a high-throughput real-time data access platform in Rust, delivering ~4.92 ms average latency across ~10,000 concurrent requests at 50 concurrencies.
    • Built streaming connectors (Postgres, Snowflake, Ethereum, Kafka, AWS S3, object stores) and a native SQL engine using RocksDB, enabling joins over 100 million records in ~10 minutes.
    • Designed & deployed Stripe webhook integration with Rust Diesel, EKS/Minikube deployments, and snapshot/checkpoint mechanics for object stores like S3 & DeltaLake.
    • Presented engineering demos at Big Data & AI World Singapore, Big Data Conference Europe, and APIdays Paris.
  • Goldman Sachs Singapore

    Analyst

    July 2020Dec 2022



    • Developed and open-sourced a milestoning component library using SQL, Snowflake to version temporal data in large-scale systems.
    • Contributed to the Legend open-source data modelling ecosystem via the Studio tool and persistence service, improving developer productivity and testing capabilities.
    • 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 and latency for the Alloy Streaming ETL platform: leveraged Java, Prometheus, Thanos, Grafana and Kubernetes to build data-reliability features.
    • Operated and optimised Kafka-based distributed ETL pipelines embedded within Kubernetes for high-throughput ingestion and real-time data flows.
  • 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



    • Built a personalized recommendation system for the Private Banking web platform using Python, Java, Angular and Flask on Gaia (JPMC’s cloud), with collaborative filtering and user-clustering algorithms to enhance user experience.
  • Imago.AI Hong Kong

    Artificial Intelligence Researcher

    May 2018Aug 2018



    • Developed a neural Question & Answer model based on Bi-Directional Attention Flow + self-attention for SQuAD & MS MARCO datasets.
    • Created a Chinese Named Entity Recognition model with BiLSTM + CRF targeting Hong Kong address datasets, enhancing extraction accuracy.
  • 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.

Projects & Research Experience


  • News Data Processing for Fake News Detection Hong Kong

    Final Year Project

    May 2018May 2019



    • Designed a multi-modal neural network for fake-news detection, combining text, image, and query-based modules to improve classification accuracy and model diversity.
    • Implemented a fact-checking pipeline using BiDAF (Bi-Directional Attention Flow) and AllenNLP Decomposable Attention models, introducing a claim-and-evidence–driven verification approach.
    • Deployed trained models behind an exposable REST API / web service, enabling scalable integration with external applications for real-time news verification and content analysis.
  • BundlePort Hong Kong

    CEO / CTO

    Jan 2018May 2019



    • Founded and led a startup developing a full-stack web platform for retail logistics management, built with Node.js and MySQL, and deployed on AWS EC2, S3, Elastic Beanstalk, and CloudFront.
    • Directed overall product vision, engineering roadmap, and sales operations, managing cross-functional coordination between development and retail teams.
    • Focused on UI/UX optimization and process automation, improving transaction efficiency and streamlining logistics workflows for partner merchants.
  • 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.

Skills


  • Technical Skills

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


  • Language Skills

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

Honors and Awards


  • 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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