Branden Dunbar is a Technical Director and Senior Staff Engineer with 11 years' experience delivering secure, cloud-native platforms and data-driven applications across fintech, trading, and asset management. He spans the full Secure SDLC—architecture, secure design, DevSecOps, container orchestration and SRE—while shepherding ML models into production and modernising platform architecture. A pragmatic security specialist, he has led product security programs and internal application testing at scale, and now advises AI-native secure-by-design startups and fintech boards. He contributes to open-source documentation and visualization (notably Plotly examples), reflecting a strong front-end and data-visualisation pedigree alongside backend and platform depth. Based in Melbourne, he pairs rigorous cybersecurity training (UNSW Canberra) and data science grounding (Monash) with a neuroscience-rooted curiosity that informs pragmatic, user-focused engineering.
11 years of coding experience
10 years of employment as a software developer
Master of Cyber Security, Master of Cyber Security at UNSW Canberra
Bachelor of Science - BS, Neuroscience, Bachelor of Science - BS, Neuroscience at Queen's University
Bachelor of Science (B.S.), Neurobiology and Neurosciences, Bachelor of Science (B.S.), Neurobiology and Neurosciences at Macquarie University
Graduate Diploma of Data Science, Graduate Diploma of Data Science at Monash University
Issue tracker for Plotly's open-source documentation.
Role in this project:
Front-end Developer
Contributions:441 commits, 9 PRs, 391 pushes in 2 years
Contributions summary:Branden appears to have uploaded various IPython notebooks and HTML files, indicating a focus on documentation and possibly UI updates. Based on the file names, such as _posts/python/line_and_scatter/ and _posts/python/bar/, the changes seem to be related to providing documentation for specific chart types within the Plotly library. The nature of the work involves updating the existing documentation with uploaded examples for Python, showing an emphasis on the presentation and illustration of Plotly charts.
A demo app for visualizing hundreds of millions of data points interactively with Dash and Datashader.
Contributions:22 commits, 2 PRs, 1 push in 3 months
demo-appdata-analysisdashdata-scienceplotly-dash
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