Inigo Slijepcevic
Applied Scientist at Wayve
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolInigo Slijepcevic is an applied scientist with nine years’ experience building multimodal, embodied AI and autonomous driving systems, currently developing vision-language-action foundational models at Wayve. He combines rigorous academic training (PhD in AI for science, MPhys Oxford) with hands-on production research, having implemented L4-standard systems and evaluation pipelines at Amazon AGI for multimodal speech/LLM integration. His background spans privacy-preserving federated learning, synthetic data pipelines, and world modelling at scale, enabling robust training and deployment across distributed data sources. Colleagues know him for shipping high-quality code that bridges research and engineering, and for a rare blend of physics-rooted intuition and pragmatic software craftsmanship.
9 years of coding experience
1 year of employment as a software developer
MPhys, Physics, Scholar, MPhys, Physics, Scholar at University of OxfordDoctor of Philosophy - PhD, AI for science, Doctor of Philosophy - PhD, AI for science at The University of Manchester
Github Skills (43)
galaxy9
morphology8
analyser7
keras7
bayesian7
api6
machine-learning6
spectrum6
reinforcement-learning6
cli5
audio-effect5
collaboration5
hyperparameter-tuning5
sound-processing5
pulseaudio5
Programming languages (3)
Github contributions (5)
inigoval/fixmatch
Jun 2021 - Apr 2022
Contributions:49 commits, 2 PRs, 10 pushes in 9 months
inigoval/byol
Jun 2022 - Jul 2024
Contributions:6 PRs, 35 pushes, 3 branches in 2 years 1 month
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