Dhritiman Das, Staff Software Engineer - Machine Learning Infrastructure at LinkedIn, will present a torch-native retrieval engine that uses PyTorch as the primary runtime for retrieval, filtering, and ranking at PyTorch Conference North America 2026.
The system combines a GPU-resident torch tensor index, tensor-based retrieval operations, custom CUDA kernels for attribute filtering, and TorchScript model execution within a unified serving architecture orchestrated through a Rust and tch-rs backend.
Dhritiman will also share how the approach scales to critical use cases like feed and search at LinkedIn.
Join us in San Jose on October 20-21: https://hubs.la/Q04v4SL60
View the poster sessions: https://events.linuxfoundation.org/pytorch-conference-north-america/program/schedule-posters/
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