Sindhu Somasundaram

Software Engineer Co-op at Activ Surgical

San Jose, California, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Sindhu Somasundaram is a software engineer with six years of professional experience, currently working as a Software Engineer Co-op in San Jose and holding a Master’s in Computer Science from Northeastern University. She has a strong background in full-cycle software development from roles at Zoho and Activ Surgical, combining reliable delivery with the ability to work independently or within teams. Her open-source contributions to the deepjavalibrary (DJL) show practical machine learning engineering skills—adding inverse NDArray ops across PyTorch and MXNet engines and improving Android image utilities—which highlights a knack for bridging native and high-level ML tooling. Fast to learn new technologies, she pairs hands-on implementation with careful testing and documentation, making her effective on both product-facing features and core infrastructure.
code6 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at Northeastern University
bookBachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at SASTRA UNIVERSITY
github-logo-circle

Github Skills (9)

javas10
mxnet10
pytorch10
machine-learning10
deep-learning10
ndarray10
java10
android9
tensorflow7

Programming languages (8)

C#TypeScriptJavaC++GherkinJavaScriptJupyter NotebookPython

Github contributions (5)

github-logo-circle
deepjavalibrary/djl

Mar 2022 - Jul 2022

An Engine-Agnostic Deep Learning Framework in Java
Role in this project:
userML Engineer
Contributions:1 release, 70 reviews, 2 commits in 4 months
Contributions summary:Sindhu contributed to the implementation of core deep learning functionalities within the DJL framework. These contributions include adding inverse operations for NDArrays in both PyTorch and MXNet engines, as well as updating and fixing related tests and the implementation in the native code. The user also added functionalities, such as drawMarks to Android's BitmapImageFactory. Additional commits involve fixes related to the documentation and testing of the project.
pytorchmxnetcaffe2deep-learningagnostic
sindhuvahinis/djl

Jul 2021 - Feb 2025

An Engine-Agnostic Deep Learning Framework in Java
Contributions:44 pushes, 28 branches, 1 tag in 3 years 7 months
caffe2deep-learningagnosticmachine-learningneural-network
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Sindhu Somasundaram - Software Engineer Co-op at Activ Surgical