Luke Bidulka
Machine Learning Engineer at Novarc Technologies Inc.
Canada
Summary
👤
Senior🎓
Top SchoolLuke Bidulka is a machine learning engineer with eight years of hands-on experience building AI systems across biomedical, robotics, and physics applications. He completed a MASc in Electrical & Computer Engineering at UBC under Dr. Jane Z. Wang, developing deep learning models for biomedical imaging and hand-pose tracking for Parkinson’s patients. Luke has applied ML in production settings at Novarc Technologies and contributed to particle classification for the Hyper-K experiment at TRIUMF, demonstrating skill translating research into fielded solutions. His background spans embedded firmware, IoT vision systems, and robotics hardware, giving him a rare full-stack perspective on ML system design and deployment. Driven by curiosity and a maker’s mindset—“I like making things”—he seeks opportunities that combine sustainability and real-world impact. Colleagues describe him as someone who deliberately leaves his comfort zone to learn new domains and deliver practical, research-informed technology.
8 years of coding experience
4 years of employment as a software developer
Bachelor's, Electrical and Electronics Engineering, Bachelor's, Electrical and Electronics Engineering at The University of British ColumbiaProgramming languages (2)
Github contributions (5)
lbidulka/lukespage
Nov 2021 - Feb 2023
Contributions:59 pushes, 1 branch in 1 year 3 months
lbidulka/ESCAPE
Jun 2023 - Jun 2024
Contributions:2 PRs, 80 pushes, 4 branches in 1 year
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