Rahul Kamat
Senior Software Engineer at Google
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolRahul Kamat is a Senior Quantitative Research Engineer with seven years of experience building production-grade AI and systems-level software, now leading AI research at Citadel GQS in New York. He previously spent five years at Google advancing developer AI and building GenAI coding agents while contributing notable back-end improvements to the widely used google/closure-compiler, including TypedAST and source map enhancements. Rahul’s background spans applied ML at Google Brain, routing and supply-chain optimization at Amazon, and full-stack engineering internships, giving him a rare blend of compiler, ML, and optimization expertise. A Rutgers computer science and mathematics graduate, he combines research rigor with pragmatic engineering to move models and algorithms into latency-sensitive, real-world trading systems.
7 years of coding experience
5 years of employment as a software developer
East Brunswick High SchoolBachelor of Science - BS Computer Science Mathematics, Bachelor of Science - BS Computer Science Mathematics at Rutgers University
English, Spanish, 😎
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
closure10
code-optimization10
google-closure-compiler10
javascript10
compiler-design10
text-parsing10
parsing10
serialization9
data-serialization9
sourcemaps8
Programming languages (5)
Github contributions (5)
google/closure-compiler
Jul 2021 - Jan 2023
A JavaScript checker and optimizer.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits, 6 PRs, 4 pushes in 1 year 5 months
Contributions summary:Rahul contributed to the Closure Compiler project by modifying core JavaScript compiler files. Their work included implementing and refactoring features related to JavaScript parsing, serialization, and the internal TypedAST representation, specifically focusing on enhancements for ICU templates with placeholders and source map serialization. The user also addressed bugs and introduced improvements in the compilation process, such as optimizing the variable name coalescing and improving the handling of JavaScript language features.
checkerjavascriptoptimizationtypecheckingoptimizer
rahul-kamat/tensorflow
May 2020 - Jul 2020
An Open Source Machine Learning Framework for Everyone
Contributions:93 pushes, 14 branches in 1 month
pythondata-sciencedeep-learningmachine-learningframework-learning
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