Arjun Roy - Software Engineer at Google

Arjun Roy

Software Engineer at Google

California, United States

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Summary

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Rockstar

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Top School

Arjun Roy is a software engineer with eight years of experience specializing in congestion control and high-performance networked systems, currently working at Google. He holds a PhD in Computer Science from UC San Diego and has a track record of research-driven internships and collaborations with industry leaders including Facebook, Microsoft, NVIDIA, Red Hat, and IBM. Arjun contributes to prominent open-source projects such as gRPC, where he focused on fixing memory leaks and improving C++ server performance and stability—work that directly impacts large-scale RPC deployments. His background blends deep systems research with practical engineering across cloud and networking domains, and he brings particular expertise in stabilizing multithreaded server shutdown and handshake logic. Based in California, he pairs rigorous academic training with hands-on production impact—and, on a lighter note, has an unexpected fondness for REO Speedwagon.

8 years of coding experience

2 years of employment as a software developer

Phd, Computer Science, Phd, Computer Science at UCSD

Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Columbia University in the City of New York

MS.c, Computer Science, MS.c, Computer Science at Stanford University

Github Skills (6)

memory-management10

c-language10

cprogramming-language10

performance-optimization10

grpc10

multithreading9

Programming languages (3)

C++CTeX

Github contributions (5)

grpc/grpc

Nov 2018 - May 2021

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

Role in this project:

Backend Developer

Contributions:13 reviews, 101 commits, 124 PRs in 2 years 6 months

Contributions summary:Arjun primarily focused on fixing memory leaks and improving the performance of the gRPC C++ server implementation. They addressed intermittent memory leaks in the CPP sync server shutdown process, specifically within request handling threads. Further contributions involved refactoring the code to use CPP implementations for gRPC handshake operations, setting variables to null after freeing memory, and inlining some memory operations. These changes improved the stability, and efficiency of the gRPC server.

objective-ccpppythongrpcphp

arjunroy/grpc

Nov 2018 - May 2021

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

Contributions:288 pushes, 88 branches in 2 years 6 months

objective-ccpppythongrpcphp

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