Olivier Tardieu is a Principal Research Staff Member and manager with nearly two decades of experience bridging academic research and industrial engineering in high-performance and cloud-native systems. At IBM Research he co-developed the X10 language, co-founded the Apache OpenWhisk serverless project, and recently designed the workload scheduler and a fractional GPU allocator now available as the Dynamic Accelerator Slicer on Red Hat OpenShift. He currently leads a cross-disciplinary team focused on LLM inference at scale, delivering autoscaling for distributed inference (llm-d), Triton kernels for vLLM, and PyTorch support for IBM’s Spyre AI accelerator. Comfortable shifting between low-level kernel work and large-scale orchestration, he combines deep systems expertise with a history of impactful open-source contributions. Based in Yorktown, NY, he holds a PhD in Computer Science and an engineering degree from École Polytechnique / Mines Paris, reflecting a long-standing blend of rigorous theory and production software.
18 years of coding experience
8 years of employment as a software developer
Classes préparatoires aux grandes écoles, Classes préparatoires aux grandes écoles at Lycée Thiers
Apache OpenWhisk is an open source serverless cloud platform
Role in this project:
Back-end Developer
Contributions:5 commits, 8 PRs, 82 comments in 1 year 4 months
Contributions summary:Olivier primarily contributed to the back-end functionality of the OpenWhisk platform. Their work includes fixing issues related to global scope variables in NodeJS actions, implementing enhancements for sequence throttling, and adding support for conductor actions within the controller. The user also made changes to the EntitlementProvider and Actions components and related testing, improving overall system behavior and error handling. The commits reflect a deep understanding of serverless architectures and action execution within the platform.
Contributions:2 releases, 100 commits, 46 PRs in 2 years 3 months
serverlesscomposerawscompositionjavascript
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