Jaya Venkatesh
Software Engineer at NVIDIA
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJaya Venkatesh is a software engineer with eight years of experience building GPU-accelerated data science and AI tooling, currently contributing to the NVIDIA RAPIDS Python ecosystem. With an MS in Computer Science from ASU and hands-on backend experience at Pixxel, she has delivered production-grade APIs, scalable SQL/NoSQL schemas, and cloud-native deployments across AWS, Azure, and GCP using Kubernetes and Terraform. Her work bridges applied ML and remote sensing—she published peer-reviewed research on snowmelt detection from satellite imagery and engineered Dask- and GPU-powered pipelines that cut processing times by over 60%. At NVIDIA she has optimized build artifacts and demonstrated zero-code GPU acceleration for data science workflows, showing a knack for improving developer experience as well as runtime performance. Based in San Jose, she seeks roles at the intersection of accelerated computing, geospatial analytics, and operational ML, and often combines research rigor with production-focused engineering.
8 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science - MS, Computer Science, 4.11/4.0, Master of Science - MS, Computer Science, 4.11/4.0 at Arizona State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (76)
nvidia10
cuda10
memory-allocation9
pandas9
opencl9
memory-management9
python9
gpu9
pydata9
clustering9
cpp9
rapids9
dataframe9
python-bindings9
sparse9
Programming languages (9)
Github contributions (5)
VenkateshJaya/Cryptography-Paillier
Nov 2019 - Aug 2023
Contributions:3 pushes, 1 branch in 3 years 9 months
VenkateshJaya/cudf
Feb 2025 - Mar 2025
cuDF - GPU DataFrame Library
Contributions:20 pushes, 3 branches in 1 month
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