Raghuveer Bhat is a data scientist with eight years of software engineering and machine learning experience, currently developing deep learning pipelines to detect early biological signs of neurological diseases at Beckman Coulter Life Sciences. He transitioned from embedded and middleware development at Toshiba to algorithm engineering at a startup, combining production-grade software practices with research-driven model development. A University of Birmingham MS graduate with a perfect GPA, Raghuveer contributes to open-source ML tooling—adding framework interop features to the ivy project that simplify portability across libraries. He brings pragmatic engineering discipline to sensitive clinical applications, pairing rigorous testing and extensions work with a curiosity-driven "always learning" mindset.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering, Computer Science, 8.6/10.0, Bachelor of Engineering, Computer Science, 8.6/10.0 at Visvesvaraya Technological University
Master of Science - MS, Advanced Computer Science, 4.0/4.0, Master of Science - MS, Advanced Computer Science, 4.0/4.0 at University of Birmingham
Contributions:6 reviews, 8 commits, 8 PRs in 1 month
Contributions summary:Raghuveer's contributions primarily involve implementing and testing new functionality related to machine learning frameworks. They added support for `asinh` and `asinh_` methods in the `torch` frontend, including corresponding tests. The user also added the `fliplr` extension API, as well as the `rot90`, `isclose`, `count_nonzero`, `atleast_2d`, `atleast_1d` and `atleast_3d` extension APIs, with corresponding tests for all.
Contributions:4 pushes, 1 branch in 4 years 11 months
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