Simmone Taitt
Sonya Bhavsar
Jürgen Weichenberger
Hemant Jain
Hemant works on efficiently fine-tuning and serving LLMs as a part of the Platform team at Cohere. Prior to this, he spent 3 years at NVIDIA developing Triton Inference Server, an open-source solution used to deploy machine learning models into production. He has a Masters in Data Science from the University of Washington.
Aceil Halaby
Jenna Jung
Lucy Bale
Venkat Ramesh
Venkat Ramesh is a Hardware Systems Engineer in Meta's Infrastructure Org.
As a Technical Lead in the Release-to-Production team, Venkat has been at the helm of pivotal initiatives aimed at bringing various AI/ML Accelerator, Compute and Storage platforms into the Meta fleet. His multifaceted technical background spans roles across software development, performance engineering, NPI and hardware health telemetry across hyper-scalers and hardware providers.
Deeply passionate about the topic of AI hardware resiliency, Venkat's current focus is on building tools and methodologies to enhance hardware reliability, performance and efficiencies for the rapidly evolving AI workloads and technologies.
