- Date: Friday, October 1st, 20212021-10-01
- Time: 3:30pm - 5:00pm
- Location: Zoom (Meeting ID: 962 2916 4165, Passcode: 123456)Zoom (Meeting ID: 962 2916 4165, Passcode: 123456)
We will start with a short introduction to compilers and machine learning, and what happens when the two areas meet. Then we consider what mathematics has to do with both, and why learning math can set you up to be a great software engineer. Finally, we discuss some tips for transitioning from academia to industry.
Laszlo Kindrat is a Senior Software Engineer at Luminous Computing, a photonic semiconductor startup based in Mountain View, CA. His main area of focus is the development of compilers for machine learning models. Previously, he worked at XMOS Inc. where he developed algorithms for speaker identification and a pre- compilation optimizer for edge AI models. Laszlo received his PhD in Applied Mathematics from UNH in 2019 under the guidance of Prof. Marianna Shubov, and holds a BS in Mechatronics from the Budapest University of Technology and Economics.
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