Somasree Majumder is a Machine Learning Engineer based in Hyderabad with six years of experience building real-time computer vision systems that perform reliably in the physical world. She blends deep ML engineering—implementing ops and backend integrations across frameworks like TensorFlow, JAX, PyTorch and writing Ivy OpConverters for TensorRT—with hands-on full-stack skills honed at Deloitte, delivering responsive, production-ready interfaces. An active open-source contributor, she’s improved test coverage and added low-level tensor operations in the ivy project while also shipping front-end projects like a JavaScript Sudoku solver, showing versatility from algorithmic internals to user-facing experiences. A LiFT Scholar and former PyTorch freelancer, she’s comfortable navigating large codebases and guiding contributors through complex integrations, bringing pragmatic rigor to deploying ML systems in real environments.
6 years of coding experience
2 years of employment as a software developer
Btech, Ece, 9, Btech, Ece, 9 at Institute of Engineering & Management (IEM)
This Repository contain awesome vanilla JavaScript projects.
Role in this project:
Front-end Developer
Contributions:1 review, 12 commits, 2 PRs in 12 days
Contributions summary:Somasree primarily focused on developing a Sudoku solver project using HTML, CSS, and JavaScript. Their main contribution involved adding the necessary HTML structure, CSS styling, and JavaScript logic, including generating a new puzzle and implementing a solve functionality, based on the code differences in the commits. This indicates a focus on the visual presentation and interactive behavior of the Sudoku game. The user utilized the bootstrap and also worked on CSS files to style the project, confirming the front end focus.
Contributions:8 reviews, 1 commit, 104 PRs in 1 day
Contributions summary:Somasree primarily contributed to the implementation of machine learning functionalities, as evidenced by commits introducing and modifying methods related to tensor operations and model components. They added and modified instance methods, such as arctan_, cumsum_, arctan2_, and log_ in the tensor class. Their contributions included tests for these methods, and the code changes mainly involved frontend implementations for frameworks like PyTorch and its integration with the Ivy library.
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Somasree Majumder - Machine Learning Engineer at DeepEdge