Karan Gill - Software Engineer at Google

Karan Gill

Software Engineer at Google

New York, New York, United States

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Summary

👤

Senior

🎓

Top School

Karan Gill is a software engineer with nine years of experience building high-throughput systems, currently owning internal Geo APIs at Google that handle over 2 million QPS. He previously worked on iOS and backend systems for YouTube and has a background in C++, Objective-C, and Python, with hands-on experience in ML through contributions to Google's engineering education repos involving TensorFlow-based recommendation notebooks. Karan holds an MS in Computer Science from USC and a BE in Mechanical Engineering from Cooper Union, blending strong engineering fundamentals with scalable software design. Based in New York, he favors pragmatic, performance-oriented solutions and signals a preference for thoughtful outreach—read his experience before reaching out. An early intern at RubensteinTech, he brings both startup curiosity and production-grade discipline to platform and API engineering.

9 years of coding experience

High School, High School at Pathways World School

Master of Science - MS, Computer Science, 3.51, Master of Science - MS, Computer Science, 3.51 at University of Southern California

Bachelor of Engineering - BE, Mechanical Engineering, 3.92, Bachelor of Engineering - BE, Mechanical Engineering, 3.92 at The Cooper Union for the Advancement of Science and Art

Github Skills (6)

jupyter-notebook10

machine-learning10

recommendation-system10

tensorflow10

python10

data-analysis8

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

google/eng-edu

May 2019 - Apr 2020

Role in this project:

Data Scientist

Contributions:39 commits, 24 PRs, 53 pushes in 11 months

Contributions summary:Karan's commit centers around the creation and modification of an iPython notebook file. Based on the filename, this file focuses on recommendation systems, utilizing machine learning techniques. The commit shows the user uploading the notebook file and subsequently, updating it. The code differences show the usage of libraries such as TensorFlow, confirming a focus on machine learning model development.

karan-gill/vidyakosh

Oct 2019 - Sep 2021

Contributions:107 commits, 102 pushes, 1 branch in 1 year 11 months

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