Chris Saunders
Talent Acquisition Specialist - Technology at Vanguard Australia
Greater Melbourne Area Australia
Summary
🤩
Rockstar🎓
Top SchoolChris Saunders is a Talent Acquisition Specialist focused on technology, with eight years’ experience aligning workforce planning to business growth across enterprise and consulting environments in Australia and New Zealand. He blends hands-on resourcing and bench management with program delivery—leading multi-year workforce plans, resourcing tool implementations (CAMMS), and utilization uplift programs that drove utilization from ~15% to over 90% within months. Comfortable engaging senior stakeholders, advising on demand forecasting and RFP/vendor panels, he also mentors recruiting teams and optimises processes to shorten time-to-fill. Unusually for a TA specialist, Chris contributes to open-source development work on AI training tooling—adding UI and optimizer integrations—demonstrating a practical technical fluency that helps him recruit and assess engineering talent effectively. Based in Greater Melbourne, he combines analytics-driven decision making from a BSc in Management Systems with pragmatic delivery experience across public and private sectors.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Management Systems with Business Mathematics, Bachelor of Science (BSc), Management Systems with Business Mathematics at The Manchester Metropolitan University
Github Skills (7)
uid10
front-end-development10
ui-design10
python10
git9
pytorch9
javascript8
Programming languages (5)
Github contributions (5)
d8ahazard/sd_dreambooth_extension
Mar 2023 - Mar 2023
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 commits, 3 PRs, 59 pushes in 3 days
Contributions summary:Chris contributed to the development of the DreamBooth extension, primarily focusing on the user interface and optimizer functionalities. They removed and added UI elements related to optimizer parameters, specifically for the integration of new optimization algorithms like D-Adaptation. The user also refactored code to incorporate D-Adaptation optimizers within the training pipeline, including integration with the UI. Furthermore, the user merged the "optimizers" branch, integrating the new optimizer implementations.
saunderez/upptime
Jan 2022 - Dec 2022
Contributions:1054 pushes in 10 months
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