Ashton Sidhu
AI Architect at HiddenLayer
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAshton Sidhu is an AI Architect with nine years of experience designing and shipping ML-driven systems across finance, cybersecurity, and enterprise search. He holds an MEng in Predictive and Prescriptive Analytics and Financial Engineering from the University of Toronto and blends rigorous academic training with hands-on engineering. Ashton has a strong track record at companies like Elastic and HiddenLayer, where he moved from senior ML engineering roles into architecture and principal leadership. He built Aethos, an open-source library to automate data scientist workflows, and has contributed meaningful features and tests to popular projects like pandas-bokeh, showing attention to both usability and code quality. His work at TD produced automated labeling and detection pipelines that eliminated manual tasks and increased security team efficiency by orders of magnitude. Ashton combines NLP, anomaly detection, and scalable deployment experience to turn research into production-ready, auditable systems.
9 years of coding experience
8 years of employment as a software developer
Masters of Engineering - MEng Predictive and Prescriptive Analytics and Financial Engineering, Masters of Engineering - MEng Predictive and Prescriptive Analytics and Financial Engineering at University of Toronto
Github Skills (9)
data-visualizations10
unit-testing10
pandas10
data-visualization10
data-visualisation10
bokeh10
pytest10
python10
unit-test10
Programming languages (7)
Github contributions (5)
PatrikHlobil/Pandas-Bokeh
Aug 2019 - Sep 2019
Bokeh Plotting Backend for Pandas and GeoPandas
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:34 commits, 1 PR, 9 comments in 17 days
Contributions summary:Ashton focused on enhancing the `pandas-bokeh` library, adding features and improving existing functionality. Their contributions include implementing an auto-scaling feature for plots and integrating a range tool for line plots. The user also created unit tests to ensure the correct functionality of the added features, demonstrating a commitment to code quality. Furthermore, the user updated the plotting backend's code and updated the test documentation.
pythondataframesbackendmatplotlibplotting
Ashton-Sidhu/Blog
Mar 2020 - Oct 2020
My Blog
Contributions:2 PRs, 129 pushes, 5 branches in 7 months
my-blogjekyll
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