Chirag Vartak
Production Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolChirag Vartak is a Production Engineer based in the New York City area with a decade of experience delivering reliable systems in high-scale environments. Currently at Meta, he brings a pragmatic, problem-solving mindset that spans both mathematical and non-mathematical challenges, backed by a 4.0 MS in Computer Science from Arizona State University. His background includes hands-on software engineering at InMobi and contributions to the well-known aima-python repository where he maintains code quality and search-algorithm implementations. Comfortable merging across branches and fixing nuanced issues, he focuses on stability and clarity in production code. Colleagues describe him as someone who prefers solving the hard, messy problems others avoid, pairing deep technical rigor with steady operational execution.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Arizona State University
Github Skills (8)
algorithm10
data-structures10
algorithms10
python10
data-structure10
develop9
version-control9
git9
Programming languages (4)
Github contributions (5)
aimacode/aima-python
Mar 2016 - Mar 2016
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Role in this project:
Back-end Developer
Back-end DeveloperContributions:37 commits, 15 PRs, 27 comments in 22 days
Contributions summary:Chirag primarily contributes to the project by fixing minor spelling mistakes in the code and merging branches. They also modify files related to search algorithms, which is essential for the project's core functionality. Their work is focused on maintaining the code's quality and integrating changes from different branches, ensuring the project's stability and coherence.
artificial-intelligencepython
chiragvartak/ytdl
Dec 2016 - Dec 2018
A small Python script that downloads songs listed in a text file
Contributions:5 commits, 1 PR, 13 pushes in 2 years
python
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