Aishwarya Bhandare
Senior Deep Learning System Software Engineer at NVIDIA
California, United States
Summary
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Rockstar🎓
Top SchoolAishwarya Bhandare is a Senior Deep Learning System Software Engineer based in California with a decade of experience building production ML systems at NVIDIA, Amazon, Microsoft, and Intel. She specializes in back-end and training-focused ML infrastructure, contributing notably to Microsoft’s ONNX Runtime—adding distributed and zero checkpointing support and training conveniences—and improving ML.NET’s image classification pipelines. Comfortable working across system-level optimizations and higher-level ML pipelines, she bridges research-driven algorithms with robust engineering for scalable inference and training. Known for a continuous-learning mindset, she pairs strong academic foundations (Masters degrees in ECE) with hands-on contributions to prominent open-source projects that power real-world AI workloads.
10 years of coding experience
5 years of employment as a software developer
Master’s Degree, electrical and computer engineering, 4.0, Master’s Degree, electrical and computer engineering, 4.0 at North Carolina State UniversityBachelor’s Degree, Electrical, Electronics and Communications Engineering, 81%, Bachelor’s Degree, Electrical, Electronics and Communications Engineering, 81% at Pune Institute of Computer TechnologyMaster’s Degree, electrical and computer engineering, Master’s Degree, electrical and computer engineering at Stony Brook University
English, Hindi, Marathi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
algorithms10
image-classification10
net10
machine-learning10
dotnet10
onnx10
ml10
asp-net10
deeplearning-ai10
deep-learning10
tensorflow10
c-language9
python9
csharp9
dotnet-core9
Programming languages (4)
Github contributions (5)
microsoft/onnxruntime
Apr 2020 - Sep 2022
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
Back-end Developer
Back-end DeveloperContributions:435 reviews, 191 commits, 111 PRs in 2 years 4 months
Contributions summary:Aishwarya primarily contributed to the back-end development of the ONNX Runtime, an ML inferencing and training accelerator. Their work included implementing new features like distributed checkpointing support for training, which involved code for checkpoint aggregation, zero checkpointing aggregation, and related testing. The user also worked on setting gradients as outputs in "easy mode" during the training configuration process. The user also made updates to existing code, contributing to the core functionality of the ONNX runtime library.
runtimetrainingtensorflowai-frameworkaccelerator
dotnet/machinelearning
Sep 2019 - Nov 2019
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:ML Engineer
ML EngineerContributions:9 commits, 18 PRs, 5 pushes in 1 month
Contributions summary:Aishwarya's commits primarily focus on enhancing and improving the ML.NET machine learning framework, particularly concerning image classification functionalities. They are upgrading TensorFlow .NET versions, refactoring and implementing early stopping features, fixing incomplete batch processing, and adding support for MobileNetV2 architecture within the image classification pipeline. Their work involves modifying code, adding unit tests, and updating samples to reflect these changes.
machine-learning-platformdotnetml-netmachine-learningcsharp
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