Yash Vadalia

Staff Software Engineer And Manager at Google

Hyderabad, Sindh, United States
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Summary

👤
Senior
🎓
Top School
Yash Vadalia is a Staff Software Engineer and manager with 14 years of experience building and scaling recommendation systems for YouTube at Google, progressing from entry-level engineering to leadership roles. He combines deep technical expertise in AI/ML with product-minded delivery on growth and recommendation pipelines, and has hands-on experience across multiple levels of the organization. Beyond product work, he contributes to open-source documentation for high-profile projects like OpenCV, improving usability for the computer vision community. Based in Hyderabad with an IIIT-Hyderabad computer science background, he mentors teams and bridges research-driven models with production constraints. Off the clock he enjoys solving puzzles and competing in table tennis, chess and football, reflecting a competitive and analytical approach to problem solving.
code14 years of coding experience
job10 years of employment as a software developer
bookCBSE, CBSE at Gnyan Dham
bookBachelor of Technology with Honors Computer Science and Engineering, Bachelor of Technology with Honors Computer Science and Engineering at International Institute of Information Technology Hyderabad (IIITH)
bookHSC Science, HSC Science at Sathaye College - India
bookICSE, ICSE at Atul Vidyalaya
languagesEnglish, Gujarati, Hindi
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Github Skills (6)

opencv10
documentation10
image-processing9
computer-vision9
c-language7
cprogramming-language7

Programming languages (2)

C++Matlab

Github contributions (5)

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opencv/opencv

Feb 2014 - May 2014

Open Source Computer Vision Library
Role in this project:
userTechnical Writer
Contributions:9 commits in 2 months
Contributions summary:Yash primarily focused on documentation updates and improvements within the OpenCV library. Their contributions involved fixing syntax errors, clarifying explanations, and adding documentation for specific functions and transformations such as `LinearPolar`. The user also corrected inconsistencies in examples and made minor adjustments to existing documentation to enhance clarity. Their work contributes to the overall usability and understanding of the OpenCV library for developers.
computer-visionc-plus-plusdeep-learningimage-processing
Contributions:4 commits in 1 day
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