Originally from Toronto, Canada, and currently based in the San Francisco Bay Area, I am deeply passionate about neural network compression, large-scale foundation models, and enhancing the efficiency of training large neural networks, with a keen interest in generative AI.
On May 29, 2017, I gave a talk to the Machine Learning Research Group (MLRG) at
the University of Guelph on adopting DevOps technologies to deep learning work
environments. Here, I reviewed the five pillars of DevOps and how we can combine
TensorFlow with a number of different tools such as: AWS, MAAS, Docker,
Kubernetes, Juju.
