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@akshayka

Akshay Agrawal

akshayka

I'm Akshay Agrawal, a Ph.D. candidate at Stanford University advised by Stephen Boyd.

My research is in optimization and machine learning, and I'm passionate about building tools for both. I am the developer of PyMDE, a library for computing embeddings of large datasets, and I am a core developer of CVXPY, a domain-specific language for convex optimization used by many universities and companies.

Previously, I was a full-time software engineer on the Google Brain team, where I worked on TensorFlow 2.

2 sponsors have funded akshayka’s work.

@akshayka

Every sponsor helps me spend more time on open-source work.

@clhexgay
@taskswithcode

Featured work

  1. cvxgrp/pymde

    Minimum-distortion embedding with PyTorch

    Python 532
  2. cvxgrp/cvxpylayers

    Differentiable convex optimization layers

    Python 1,782
  3. cvxgrp/diffcp

    Differentiation through cone programs

    Python 89

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