Dmytro Dzhulgakov explores PyTorch 1.0, from its start as a popular deep learning framework for flexible research to its evolution into an end-to-end platform for building and deploying AI models at production scale. Dmytro leads a deep dive into PyTorch’s hybrid frontend, which gives AI developers the ability to seamlessly transition between imperative execution for prototyping and declarative execution for production. He also covers recent additions and the future roadmap of the platform, including tools for efficient cross-platform execution and scalable distributed training.
Dmytro Dzhulgakov is an engineering manager and technical lead for AI infrastructure at Facebook, where he is currently leading the core development of PyTorch 1.0, an open source deep learning platform. Dmytro is one of the cocreators of ONNX, a joint initiative aimed at making AI development more interoperable. Previously, he built several generations of large-scale deep learning recommendation systems at Facebook that powered products from ads to the news feed. Dmytro holds an MS in applied mathematics. He had a successful career in programming competitions and was ranked in the Top 20 on Topcoder.
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