Muhammed Asharaf is a software engineer with six years of experience building responsive UIs and front-end systems, currently working at UL Technology Solutions from Kannur, Kerala. He has held consecutive roles focused on UI and frontend development at Tegain, Teqbae, and Steyp, demonstrating steady progression into more impactful engineering responsibilities. Muhammed contributes to open-source ML tooling—adding JAX random distributions and a Torch matmul to the ivy framework—showing an aptitude for bridging frontend work with machine learning interoperability. His background in computer science from VTU underpins a practical, hands-on approach to shipping features that improve cross-framework compatibility and user-facing interfaces. Notably, he blends UI engineering strengths with low-level ML function implementations, making him versatile across product and research-adjacent codebases.
6 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Visvesvaraya Technological University (VTU)
Contributions:17 reviews, 34 PRs, 8 pushes in 11 months
Contributions summary:Muhammed primarily contributed to the development of frontends for machine learning functionalities within the Ivy framework. They implemented functions for various JAX random distributions, including beta, dirichlet, poisson, gamma, gumbel, t, generalized_normal, rademacher, and randint. The user also added a matmul function for the Torch Frontend, improving the framework's interoperability with different machine learning libraries.
Contributions:215 pushes, 36 branches in 11 months
mlppythonfairness-mldata-sciencedeep-learning
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Muhammed Asharaf - Software Engineer at UL Technology Solutions