Poornima Biradar

Bengaluru, Karnataka, India
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Summary

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Poornima Biradar is a Machine Learning Operations leader with 8 years of experience, currently driving ML strategy and execution as a Global Senior Manager at Unilever from Bengaluru. She combines hands-on ML engineering—contributing to Sony’s neural network libraries by implementing 3D padding and model APIs like AlexNet and GoogLeNet—with strategic MLOps leadership to operationalize models at scale. Her background in backend development and documentation improvements shows a pragmatic focus on reproducibility and developer experience across complex ML stacks. Poornima’s career blends enterprise impact with open-source contributions, reflecting a rare mix of product-minded leadership and low-level technical fluency.
code8 years of coding experience
bookPUC 2nd, Science, PUC 2nd, Science at N.V collage Gulbarga
bookUp to 10th standard, Up to 10th standard at N.V School Gulbarga
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at KBN Engineearing Collage Gulbarga
languagesKannada, English, Hindi
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Github Skills (10)

neural-network10
machine-learning10
python10
documentation9
mask-rcnn9
cuda9
faster-rcnn9
deep-learning8
image-recognition8
tensorflow8

Programming languages (2)

PythonCuda

Github contributions (3)

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sony/nnabla

Apr 2018 - Nov 2019

Neural Network Libraries
Role in this project:
userBack-end Developer & ML Engineer
Contributions:16 commits, 5 PRs, 1 push in 1 year 6 months
Contributions summary:Poornima primarily focused on improving the documentation and examples within the repository, updating CUDA extension references. They also implemented 3D padding for ND input within the core functions. Furthermore, the user implemented the AlexNet and GoogLeNet model APIs.
deep-learningneural-networksmachine-learningneural-networktensorflow
sony/nnabla-ext-cuda

May 2018 - May 2018

A CUDA Extension of Neural Network Libraries
Contributions:3 commits, 2 PRs, 2 branches in 10 days
cudagpuneural-network
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Poornima Biradar