Speaker: Scott Le Grand

Deep Learning Engineer @Teza (ex-Amazon, ex-NVidia)
Scott is a senior scientist at Teza Technologies. He spent four years at Amazon where he was the lead author of DSSTNE, the Deep Scalable Sparse Tensor Network. Before that he spent ten years at NVidia, doing work that resulted in 14 GPU-related patents.

Preliminary tracks

Discover some of the topics you will see at QCon London. *The schedule is subject to change

Event-Based Architectures: The Hard Parts

Architectures You've Always Wondered About

Building High Performing Teams

Scaling Security, from Device to Cloud

From Remote to Hybrid Teams: Return to Office?

Performance/Mechanical Sympathy

Next Generation Microservices: Building Distributed Systems the Right Way

Modern Data Pipelines & Streams

The Cloud Operating Model

Chaos and Resilience: Architecting for Success

Scaling Frontend

Modern JVM Innovations

Crafting the Developer Experience

MLOps: Implementing ML Across the Enterprise

Architecting a Modern Financial Institution

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