Divyashree Sreepathihalli
AI Engineer at Google
California, United States
Summary
🤩
Rockstar🎓
Top SchoolDivyashree Sreepathihalli is an AI Engineer and Technical Lead at Google who builds and maintains core developer-facing deep learning tools like Keras and KerasHub, bridging TensorFlow, JAX, and PyTorch to accelerate reproducible research. With 8+ years across framework design, multimodal models, and HCI, she translates research innovations into scalable, production-ready libraries and model repositories—most notably founding KerasHub and shaping the Gemma family of open models. Her background at Intel and startups blends platform architecture and edge computer vision, resulting in patents and deployed sensor-aware models for low-power devices. An active open-source contributor and technical writer, she has enhanced Keras documentation and contributed key augmentation and preprocessing layers to KerasCV and keras-core, making advanced workflows more accessible to practitioners. Colleagues describe her as a pragmatic systems thinker who mentors engineers and pushes for developer ergonomics without sacrificing scientific rigor.
4 years of coding experience
4 years of employment as a software developer
Bachelor, Electronics and Communications Engineering, Bachelor, Electronics and Communications Engineering at Visvesvaraya Technological UniversityMaster of Science (M.S.), Computer Engineering, Master of Science (M.S.), Computer Engineering at Texas A&M University
English, Kannada, Hindi
Github Skills (12)
neural-network10
keras10
computer-vision10
machine-learning10
image-augmentation10
deep-learning10
tensorflow10
python10
documentation10
softmax9
relu9
nlp6
Programming languages (4)
Github contributions (5)
keras-team/keras-cv
Jun 2022 - Jan 2023
Industry-strength Computer Vision workflows with Keras
Role in this project:
ML Engineer
ML EngineerContributions:4 releases, 368 reviews, 18 commits in 6 months
Contributions summary:Divyashree contributed significantly to the `keras-cv` repository, focusing on image augmentation layers. Their work involved migrating existing layers, such as `BaseImageAugmentationLayer` and `RandomRotation`, to KerasCV. They implemented new features, fixed bugs, and ensured the compatibility of the layers with bounding box functionalities. Furthermore, they enhanced the project by adding visualization features and demo utilities for the bounding box datasets.
visiondeep-learningcomputer-visionindustrystrength
keras-team/keras-io
May 2023 - Mar 2025
Keras documentation, hosted live at keras.io
Role in this project:Technical Writer
Technical WriterContributions:83 reviews, 27 PRs, 91 comments in 1 year 11 months
Contributions summary:Divyashree's commits primarily focus on adding and updating documentation, guides, and examples within the Keras documentation repository. They added a new guide on "Image Semantic Segmentation with DeepLabV3Plus," as well as Keras 3 migration guide, a patch convnet example, and the latent walk example. Additionally, the user made updates to the KerasHub guides and updated API documentation.
deep-learninghostedmachine-learningtensorflowkeras
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