About Author

Everything is a leaky abstraction, learn the knowledge under the hood so you don’t panic when things go wrong.

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1. Education

• National Taiwan University - MS in Biomedical Electronics and Bioinformatics

  SEP 2017 - AUG 2019

• National Chung Hsing University - BS in Physics

  SEP 2012 - JUN 2016

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2. Experience

• HTC Inc., New Taipei City, Taiwan

  Software Engineer in DeepQ

  AUG 2019 - Present

  • Designed and implemented a medical AI inference system:

    • Built Golang backend and ReactJS frontend with Kubernetes microservice architecture.
    • Utilized Redis Pubsub to buffer the request traffic from limited GPU resources.
    • Integrated the product into the existing DICOM system (medical image storage) seamlessly.

  • Refactor existing NodeJS backend and integrated TypeScript to improve the maintainability of the codebase.

  • Automated infrastructure provisioning in GCP with Terraform, setup complex environments within minutes.

  • Optimized and benchmarked MongoDB queries and resource usage for deployments.

  • Developed real-time web administration system’s frontend using gRPC streaming.

  • Led a 4-person medical device app team based on Flutter, designed application architecture, API schema, and native platform (Android/iOS) communications. Implemented an off-line cache system for synchronizing data between devices and server.

• Oakda Inc., Taipei City, Taiwan

  Data Scientist Intern

  JAN 2018 - MAR 2019

  • Successfully developed an investment strategy by implementing dynamic time warping algorithms in C++, and imported in Python as a C-extension.

  • Crawled data from websites and analyzed it using various statistical approaches to provide insights.

• Fortune High Investment Group Co., Ltd., ShenZhen City, China

  AI Research Assistant

  JUL 2018 - AUG 2018

  • Designed an ID card recognition application and deployed it to a Flask web server.

• Biomedical Optical Spectroscopy and Imaging Lab, Taipei City, Taiwan

  Research Assistant

  SEP 2017 - AUG 2019

  • Designed Monte Carlo models in CUDA/C++ for simulating photon movement.
  • Implemented machine learning models in Pytorch to predict cancer grade.

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3. Skills

• General Purpose Programming Language

  • Python
  • Golang
  • C++/CUDA
  • Dart
  • JS/TS

• Frontend / App Development

  • Web: VueJS | ReactJS
  • Mobile: Flutter

• Backend / Infrastructure

  • Container: Docker | Kubernetes | Helm | Skaffold
  • CI: Github action | Drone CI
  • Cloud Provider: GCP

• Language

  • Mandarin native speaker
  • English conversational (TOEFL iBT 99/120)

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4. Achievements

• Contributions

  • golang/go: document for release notes.
  • fangq/mcx: implement a python decoder for reading the binary file.

• Side Projects

  • ecpay-sdk-go: a SDK of ECPay (third-party payment service) for Go
  • dicomweb-go: a DICOMweb (medical image archive server) client for Go
  • Memory Toast: a customizable flashcard app based on Flutter

• Publications

  • Published paper in FIO+LS 2018 (Washington, D.C.) “Extracting fluorescence efficiency and emission spectra of cervical tissue”

  • Optics and Photonics Congress 2019 (Korea) “Building a Monte Carlo-based Tissue Model of Internal Jugular Vein and Validating via Fitting the Absorption Coefficients”

  • SPIE Photonics West 2020 “Building and validating a complete data processing pipeline for extracting the central venous oxygen saturation.”

• Awards

  • Won the Best project award of Advanced Information Security Summer School(AIS3) 2019