mikegallimoreÂ
Summary
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SeniorMichael Gallimore is a Senior Manager focused on AI upskilling and adoption with eight years of hands-on experience building applied machine learning systems across acoustics, ecology, and finance. He holds a BSc (Hons) in Acoustics and has shipped state-of-the-art birdsong recognition models for Environment and Climate Change Canada, producing open-source tooling and validation workflows to avoid overfitting on real-world audio. Comfortable from signal processing and embedded electronics to PyTorch/TensorFlow model training on cloud or local GPUs, he also boosted a finance app's vendor/category classifier by 40% during a production deployment. An organizer of the ML Squamish study group, he blends community leadership with practical experimentation—examples include a siamese network for whale identification and a CNN web app deployment. Equally at home writing FIR/IIR filters in MATLAB as he is iterating ML experiments with W&B, his profile reflects a rare mix of acoustic domain expertise, CNC machining background, and production-minded data science.
8 years of coding experienceGithub contributions (5)
mikegallimore/NHL_Single
Apr 2019 - Aug 2020
Contributions:4 releases, 147 commits, 137 pushes in 1 year 4 months
mikegallimore/xG
Oct 2019 - Aug 2020
Contributions:114 pushes, 1 branch in 9 months
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