Abhinuv Pitale
Senior Research Scientist at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolAbhinuv Pitale is a Senior Research Scientist based in Mountain View with nine years of experience building sensors, signal-processing systems, and simulation tools for consumer health and autonomous aviation. He designs novel health sensors and end-to-end sensor systems at Google, having previously developed fault-tolerant avionics and autonomy stacks for eVTOL aircraft at Wisk. His background spans embedded systems, control, machine learning for wireless channels, and neural signal analysis, enabling him to bridge hardware, firmware, and algorithm development. An active open-source contributor, he has improved matplotlib examples and core behavior to enhance usability and axis functionality, reflecting a focus on quality and developer experience. He led cross-functional efforts on sustainability metrics and carbon accounting at Wisk, showing an uncommon blend of technical depth and organizational stewardship. Curious and hands-on, he enjoys turning sensor research into robust, production-ready systems.
9 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng Electrical and Computer Engineering, Master of Engineering - MEng Electrical and Computer Engineering at Virginia TechBachelor of Engineering (B.E.) Electronics and Telecommunication, Bachelor of Engineering (B.E.) Electronics and Telecommunication at Maharashtra Institute of Technology
English, Hindi, Marathi, Sanskrit
Github Skills (8)
data-visualizations10
debug10
data-visualization10
data-visualisation10
python10
matplotlib10
code-optimization9
testing8
Programming languages (10)
Github contributions (5)
matplotlib/matplotlib
Sep 2018 - Oct 2018
matplotlib: plotting with Python
Role in this project:
Software Engineer
Software EngineerContributions:6 commits, 2 PRs, 37 comments in 22 days
Contributions summary:Abhinuv primarily contributed to the `matplotlib` repository by addressing issues related to code clarity and functionality within example files and core library components. Their work involved removing redundant code blocks, resolving reported bugs, and improving documentation clarity. Furthermore, the user made modifications to enhance axis-related functionalities and implemented bool support for the `axis()` function. These changes demonstrate a focus on code quality and user experience.
pythondata-sciencegtkdata-visualizationplotting
abhinuvpitale/abhinuvpitale.github.io
Sep 2017 - Nov 2024
Contributions:94 pushes, 1 branch in 7 years 2 months
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