David Kong
Machine Learning Engineer at Atlassian
Los Angeles, California, United States
Summary
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Top SchoolDavid Kong is a machine learning engineer with 8 years of experience building secure, high-performance data pipelines and APIs for cloud environments, now applying that expertise at Atlassian. He has led end-to-end ML projects across regression, computer vision, and NLP, and delivered production-ready systems at Mapbox, AWS, Microsoft, and realtor.com. Comfortable with both research and engineering, he has deployed GPU-optimized generative models (VAE, cycleGAN) and gradient-boosting ensembles that powered mission-critical features like real-estate price estimation. A proven mentor and hiring contributor, he has recruited and trained junior engineers while representing engineering externally at meetups. His background in applied mathematics and early research experience in biotech gives him a quantitative, experiment-driven approach to model design and deployment. Colleagues know him for turning large, messy datasets into robust, single-click CI/CD pipelines that meet strict security and performance requirements.
7 years of coding experience
7 years of employment as a software developer
Master of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at The University of British Columbia
English, ChineseProgramming languages (1)
Github contributions (5)
dkong8s93/p2d-model
Jun 2018 - Jun 2018
Contributions:2 commits, 1 push, 1 branch in 1 day
dkong8s93/automating-aws-with-python
Feb 2019 - Feb 2019
Repository for Automating AWS with Python course
Contributions:8 pushes, 1 branch in 3 days
pythonpython-courseamazon-web-servicesaws-glueautomation
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