Cedric Scheerlinck
Deep Learning Research Engineer at Luma AI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolCedric Scheerlinck is a deep learning research engineer with nine years of experience applying computer vision and ML to real-world products across robotics and 3D imaging. He holds a PhD in Computer Vision from The Australian National University and has transitioned from academic research—including a visiting stint at ETH Zurich—to production-focused roles at Skydio, Zoox, and now Luma AI in the San Francisco Bay Area. Cedric’s work blends rigorous research with deployment: he has moved models from paper to flight-grade perception systems and consumer-focused 3D reconstruction tools. He’s comfortable across the research-to-production pipeline, from novel model architectures to system integration and performance tuning. Colleagues describe him as someone who surfaces overlooked engineering constraints early, reducing costly rework during integration. Outside core duties, his background suggests a knack for translating neuroinformatics-style experimentation into robust, scalable ML workflows.
9 years of coding experience
4 years of employment as a software developer
Australian National UniversityThe University of Melbourne
Github Skills (22)
markdown9
jekyll-theme9
jekyll9
high-speed9
ros9
camera9
html8
github-pages8
optical-flow7
computer-vision7
jupyter-notebook6
deep-learning6
voxel5
pytorch5
python4
Programming languages (6)
Github contributions (5)
cedric-scheerlinck/jupnote_event_demo
Jan 2020 - Feb 2020
Jupyter notebook version of "Continuous-time Intensity Estimation Using Event Cameras"
Contributions:21 commits, 11 pushes in 14 days
jupyter-notebook
cedric-scheerlinck/dvs_image_reconstruction
Oct 2018 - Apr 2020
Code for "Continuous-time Intensity Estimation Using Event Cameras" (ACCV, 2018)
Contributions:131 commits, 4 PRs, 98 pushes in 1 year 6 months
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