Abhishek Gaikwad
Senior Software Engineer at NVIDIA
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAbhishek Gaikwad is a Senior Software Engineer based in San Jose with eight years of experience building robust back-end systems, now working at NVIDIA after progressing through roles from intern to senior engineer. He holds an MS in Computer Science from San José State University and has a background in enterprise software development from TIAA. Abhishek contributes to notable open-source projects like NVIDIA/aistore, where he implemented a PyTorch plugin, ETL APIs, and reliability fixes that improve AI data workflows and SDK robustness. He has teaching experience as a course instructor, reflecting strong communication skills alongside hands-on engineering. Known for pragmatic problem solving, he blends systems-level thinking with practical API and tooling improvements that accelerate ML data pipelines.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at San José State UniversityBachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Savitribai Phule Pune University
Hindi, Marathi, English
Github Skills (8)
etl10
python10
apidoc9
api9
object-storage9
pytorch9
kubernetes8
kubernetes-pods8
Programming languages (5)
Github contributions (5)
NVIDIA/aistore
Jun 2022 - Aug 2022
AIStore: scalable storage for AI applications
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 55 commits, 6 PRs in 2 months
Contributions summary:Abhishek implemented a PyTorch plugin for AIStore, enabling data loading and file listing from AIS backends. They also fixed a bug related to listing objects in an empty bucket and improved error handling within the Python SDK. Furthermore, the user added ETL APIs and examples for image transformation and MD5 calculation within the AIStore framework. These contributions focused on expanding the functionality and improving the robustness of the AIStore SDK.
scalabledeep-learningdistributed-shufflemachine-learninghyper-converged
gaikwadabhishek/test-github-actions
Jun 2022 - Dec 2023
Contributions:1 release, 50 pushes, 1 branch in 1 year 6 months
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