Ryan Wong

Ryan Wong

Software Engineer / ML Engineer

Streamba

Biography

Ryan Wong is an experienced Software Engineer with a demonstrated history of working in the Computer Science industry. Strong research and engineering graduate with a Masters in Computing Science from the University of Glasgow.

I am interested in Machine Learning, in particular the applications to the Computer Vision domain. I am eager to continue learning and apply my knowledge to various domains.

Highest Kaggle Competition Rank: 28 (Competitions Master)

Interests

  • Artificial Intelligence
  • Computer Vision
  • Machine Learning

Education

  • MSc in Computing Science, 2017

    University of Glasgow

  • BSc (Honours) in Computer Science, 2016

    University of Cape Town

  • BSc in Computer Science and Mathematics, 2015

    University of Cape Town

Experience

 
 
 
 
 

Software Engineer

Streamba

Sep 2017 – Present Glasgow
Responsibilities include:

  • Web Development
  • Machine Learning
  • Cloud Computing
  • Computer Vision Applications
 
 
 
 
 

Salesforce and IT Volunteer/Intern

South African Education and Environment Project

Feb 2016 – May 2016 Cape Town
 
 
 
 
 

Intern

University of Cape Town

Dec 2012 – Jan 2013 Cape Town
Summer Undergraduate Research Experience Program

Accomplish­ments

Kaggle Competitions

Kaggle Sep 2020
List of notable competitions entered:

  • Cornell Birdcall Identification: 1/1390 (Gold)
  • Deepfake Detection Challenge: 15/2265 (Silver)
  • Open Images 2019 Visual Relationship: 29/201 (Silver)
  • Open Images 2019 Instance Segmentation: 58/193 (Bronze)

Machine Learning with TensorFlow on Google Cloud Platform

Coursera Oct 2018
See certificate

Computer Vision Nanodegree

Udacity Jun 2018
See certificate

Recent Posts

Cornell Birdcall Identification Competition

An overview of the process I went through for the Cornell Birdcall Identification Competition hosted on Kaggle, where I achieved 1st place. The competition ran from mid June 2020 to mid September 2020.
Last updated on Sep 17, 2020 5 min read kaggle

Cheatsheet for Setting up Deep Learning Cloud VMs

VM Setup Notes My general notes / cheatsheet on how to set up deep learning environments on cloud infrastructure. AWS Useful Resource: train-deep-learning-models-on-gpus-using-amazon-ec2-spot-instance Set up - AWS Create a volume Create an instance Choose p3.
Last updated on Sep 17, 2020 2 min read

DeepFake Detection Challenge

An overview of the process I went through for the DeepFake Detection Challenge hosted on Kaggle, where I achieved 15th position out of over 2000 teams (top 1%). This blog post is more a general guide of how I approached this competition than a technical report.
Last updated on Jun 12, 2020 8 min read kaggle

Projects

Cornell Birdcall Identification

Kaggle Competition: My solution to achieve 1st place in the Cornell Birdcall Identification Challenge

Deepfake Detection Challenge

Kaggle Competition: My solution to achieve 15th place in the Deepfake Detection Challenge

Smartphone Software Retina

Masters Project: Smartphone Software Retina - Biologically inspired software retina with a gaze control mechanism

Online Particle Identification Number Generator Algorithms

Honours Project: Online Particle Identifier Number Generator Algorithms created with ANNs for Particle Identification.

Image Inpainting

My PyTorch re-implmentation of the paper, Image Inpainting for Irregular Holes Using Partial Convolutions.

Real Time Multi Style Transfer

My re-implementation in Pytorch of an adaption of the paper A Learned Representation for Artistic Style.