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.
6 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Northeastern University
Bachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at SASTRA UNIVERSITY
An Engine-Agnostic Deep Learning Framework in Java
Role in this project:
ML 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.
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Sindhu Somasundaram - Software Engineer Co-op at Activ Surgical