James Thewlis
Co-Founder at Unitary
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJames Thewlis is a Co-Founder at Unitary in London with 12 years of experience building and shipping machine learning and computer vision systems. He earned a DPhil at Oxford’s Visual Geometry Group/AIMS CDT, collaborated with Facebook AI Research resulting in a CVPR publication, and consistently bridges deep research with product engineering. His open-source work on the widely used BVLC/caffe repository includes bug fixes, multi-GPU support and implementing an im2col GPU kernel, showing hands-on expertise with GPU kernels and data pipelines. A serial applied researcher and entrepreneur—with roles at Mirriad and Entrepreneur First—he’s turned prototypes into production systems (even implementing GPU face detection during an early internship).
13 years of coding experience
2 years of employment as a software developer
DPhil, AIMS CDT and Visual Geometry Group, Supervisor: Andrea Vedaldi, DPhil, AIMS CDT and Visual Geometry Group, Supervisor: Andrea Vedaldi at University of OxfordMEng, Computing, 1st, MEng, Computing, 1st at Imperial College London
Spanish, French, Romanian, English
Github Skills (22)
caffe10
c-language10
gpu-programming10
machine-learning10
machine-vision10
vision-api10
visionapi10
deep-learning10
caffe210
cuda10
computer-vision10
deep-learning-ai10
c-programming-language10
testing9
convolutional-neural-networks9
Programming languages (7)
Github contributions (5)
BVLC/caffe
Mar 2014 - Jun 2014
Caffe: a fast open framework for deep learning.
Role in this project:
ML Engineer
ML EngineerContributions:26 commits, 1 comment in 3 months
Contributions summary:James primarily contributed to the development and testing of the core deep learning framework. Their commits focused on fixing bugs related to data handling within the network, improving the functionality of the tools used for network inspection, and optimizing GPU kernel operations. They also worked on the proper function calling, and the setup for using multiple GPUs. The user demonstrated an understanding of the underlying Caffe library by implementing and testing a new im2col kernel.
pytorchvisiondeep-learningmachine-learningcaffe
mihaelacr/ProjectEuler
Jan 2013 - Dec 2022
Contributions:37 commits, 26 pushes in 10 years
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