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Jing Kai Toh

I am a lifelong learner and I enjoy extrapolating principles from all of my learning. After graduating from Department of Mathematical ScienceNational Chengchi University (NCCU), I served as  a research assistant in Institute of Information Science (IIS) of Academia Sinica. I also had served as an Algorithm Engineer in Zero Zero Robotics. Currently, I am working as a Lead Artificial Intelligence Engineer in WISE AI. I wonder how data and artificial intelligence would change human life and I hope I can work with brilliant people!

[email protected]

Nationality: Malaysian

Location: Selangor, Malaysia

Experience

WISE AI, August 2019 - Present

Lead AI Engineer

  • R&D for AI Models that are relevant to eKYC product such as Face Anti-Spoofing and 1:1 Face Recognition
  • Setup AI training pipeline.
  • Benchmark AI model in terms of accuracy and efficiency.
  • Design and implement AI model deployment via RESTful API framework and microservice architecture.
  • Dockerize AI model deployment with optimized docker image size.
  • Establish and implement needed IT infra for AI, for instance, annotation tool, data collection application and deployment stress test tool.

Zero Zero Robotics, May 2018 - June 2019

AIgorithm Engineer

  • Researched visual tracking algorithm.
  • Monocular depth estimation on human.
  • Human orientation estimation.

Taiwan AI Academy, Feb 2018 - April 2018

(Transfer from DIRL to Taiwan AI Academy by superior.)

Data Scientist | Teaching Assistant

  • Teaching material design, mostly involved in the following sections
    • R programming language
    • Reinforcement Learning
    • Computer Vision
  • Helped our corporation partners such as FPG, Chang Chun Group, BRCAS, etc. to define and model AI problems.
  • Provided programming and modeling guidance to AI Academy's students.

DIRL in IIS, July 2016 - Jan 2018

Research Assistant | Data Scientist

  • Modeled parameter optimization for manufacturing process. 
  • Developed an object tracking software for biological experiments. (Involved data collection, training model and inference for real application)
  • Established customer analysis by combining transaction records with open data.
  • Analysed and built predictive model for purchasing behavior from transaction data that over 100 million records.

Skills

I always learn by self-study.

Python

Sep, 2014 - Present


C++

May, 2018 - Present
  • Familiar enough to implement algorithms in production.
  • Familiar with OpenCV
  • Familiar with CMake.
  • Familiar with message queue framework such as ZeroMQ/RabbitMQ


Machine Learning

July, 2016 - Present
  • Machine Learning foundation knowledge from Coursera.
  • Expertise in object detection and tracking.
  • Deep learning framework (Keras, Tensorflow, Pytorch).

Other

  • Familiar with linux commands and bash script
  • Familiar with docker and docker-compose
  • Familiar to setup cloud instances such AWS and Alicloud
  • Git





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