Ritchie Ng
CEO Technical Advisor at Commonwealth Bank
Australia
Summary
🤩
Rockstar🎓
Top SchoolRitchie Ng is a senior AI leader and entrepreneur with 11 years of experience building scalable agentic generative AI systems that engage millions of users and handle trillions in transaction value. He currently advises the CEO of Commonwealth Bank as CEO Technical Advisor and serves as Distinguished AI Scientist, having previously led Data & AI across 11 countries at Eastspring Investments. Ritchie co-founded Gloqo AI, mentors senior executives on AI strategy, and maintains strong academic ties as a visiting research scholar at NUS and a postgraduate of Imperial College London. An early NVIDIA Deep Learning Institute instructor and creator of the widely used "The Incredible PyTorch" / Deep Learning Wizard resources, he blends applied research, open-source engineering, and production ML expertise. He also has hands-on experience developing CNNs in PyTorch and contributing to prominent educational repos like NYU's deep learning course, reflecting both pedagogy and practical model-building chops. Based in Australia, he combines institutional AI governance experience with startup agility and a track record of translating deep learning research into production systems.
11 years of coding experience
2 years of employment as a software developer
Postgraduate, Postgraduate at Imperial College LondonUndergraduate, Undergraduate at National University of Singapore
English, Chinese
Stackoverflow
355reputation
60kreached
2answers
19questions
Github Skills (14)
mask-rcnn10
faster-rcnn10
pytorch10
jupyter-notebook10
machine-learning10
deep-learning10
python10
jupyter10
image-classification10
neural9
neural-network9
keras6
tensorflow6
numpy6
Programming languages (7)
Github contributions (5)
ritchieng/deep-learning-wizard
Jul 2018 - Jan 2023
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
Role in this project:
ML Engineer
ML EngineerContributions:4 releases, 422 commits, 16 PRs in 4 years 6 months
Contributions summary:Ritchie contributed to the development of a CNN model in PyTorch for image classification. The commits demonstrate the user's work on key components of the CNN architecture, including convolutional layers, max-pooling layers, and an affine/softmax layer. Furthermore, the changes involved loading and processing the FashionMNIST dataset, indicating a focus on training and evaluating the CNN model.
pythoncumlin-productionrapidsgym
Atcold/NYU-DLSP20
Nov 2018 - Apr 2021
NYU Deep Learning Spring 2020
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:63 commits, 57 pushes, 1 branch in 2 years 6 months
Contributions summary:Ritchie contributed to the NYU Deep Learning Spring 2020 repository, making several changes to Jupyter notebooks and potentially other files. Their contributions focused on cleaning up code and documentation, fixing errors, and refactoring code related to space stretching and tensor manipulation. The user also added comments to cells in the notebooks.
pytorchdeep-learningjupyter-notebookneural-netsmachine-learning
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