Somasree Majumder is a Machine Learning Engineer based in Hyderabad with about five years of experience spanning full-stack development and ML systems. Currently at DeepEdge, she brings a rare blend of front-end polish and low-level ML engineering—having contributed a Sudoku solver to the popular Awesome-JavaScript-Projects collection while also implementing tensor operations and framework-conversion logic in the Ivy project. She led unit-testing efforts with Hypothesis at Ivy and helped raise the array-api-test coverage to around 80%, reflecting a strong emphasis on reliability and test-driven development. An open-source advocate, she has built APIs for global use and routinely dives into large codebases to produce clean, maintainable implementations. Her proactive upskilling and comfort bridging UI interactivity with tensor-level internals make her effective at turning research-grade models into usable products.
5 years of coding experience
2 years of employment as a software developer
9, 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