Shilpa Kancharla
Senior Perception Engineer at Pronto
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolShilpa Kancharla is a Senior Perception Engineer based in San Francisco with eight years of experience building perception and robotics systems that bridge research and production. She has driven core perception and TensorFlow-related work at DeepMind and now leads perception efforts at Pronto, combining expertise in computer vision, spiking neural networks, and neuromorphic computing. Her background spans academia and industry — MS in Computer Science, SNN research presented at the International Conference on Neuromorphic Systems, and machine learning work at NASA — giving her a strong research-to-deployment perspective. An active open-source contributor and technical writer, she has improved TensorFlow docs and authored Gemini API quickstarts, making advanced ML tools more accessible to developers. Notably, she blends environmental and space-tech interests with hands-on robotics, reflecting a curiosity-driven approach to perception systems.
8 years of coding experience
11 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at North Carolina State UniversityBachelor of Science - BS Applied Mathematics Biology, Bachelor of Science - BS Applied Mathematics Biology at The University of North Carolina at Chapel HillStudy Abroad - Premedical Studies, Study Abroad - Premedical Studies at University of Nicosia
English, Telugu, Hindi, French
Stackoverflow
107reputation
44kreached
0answers
10questions
Github Skills (19)
json10
python10
machine-learning10
api10
tensorflow10
rest-api10
jupyter-notebook10
documentation10
deeplearning-ai9
deep-learning9
computer-vision8
video-processing7
buffalo6
density-plot6
flash-messages6
Programming languages (7)
Github contributions (5)
google-gemini/cookbook
Apr 2024 - Dec 2024
Examples and guides for using the Gemini API
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:20 reviews, 67 PRs, 129 pushes in 8 months
Contributions summary:Shilpa primarily contributed to the quickstarts within the google-gemini/cookbook repository, focusing on adding and updating REST-based quickstarts for the Gemini API. Their work included creating and modifying Jupyter Notebooks demonstrating the usage of various API features, such as listing models, JSON schema, and entity extraction. The contributions aimed to provide examples for developers.
geminigemini-api
tensorflow/docs
Oct 2022 - Dec 2022
TensorFlow documentation
Role in this project:Technical Writer
Technical WriterContributions:4 reviews, 8 commits, 1 PR in 1 month
Contributions summary:Shilpa's commits primarily involve creating and updating documentation for the TensorFlow project. The user added a tutorial for video classification with a 3D CNN, updated the video loading tutorial, modified the MoViNet tutorial, updated download links for TensorFlow 2.11, and corrected an OpenCV installation. These changes demonstrate the user's focus on improving the documentation of existing content and adding new tutorials to the repository.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
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