Avinash Vem

Avinash Vem is a senior applied research scientist in NVIDIA’s RAPIDS organization, where he focuses on designing and optimizing end-to-end machine learning pipelines that leverage high-performance computing (HPC) frameworks. These include CUDA, RAPIDS, and distributed compute platforms like Dask. Prior to that, he obtained his PhD in 2017 from the department of electrical and computer engineering atTexas A&M University.
Avatar photo

Posts by Avinash Vem

Data Science

Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science

In our previous post, we introduced the setup of predictive modeling in chip manufacturing and operations, highlighting common challenges such as imbalanced... 6 MIN READ
Data Science

AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science

NVIDIA leverages data science and machine learning to optimize chip manufacturing and operations workflows—from wafer fabrication and circuit probing to... 8 MIN READ