Sukrit Arora is a founding research engineer and ML algorithm expert with 11 years of experience developing deep learning solutions for imaging, particularly in semiconductor and medical MRI contexts. He combines a strong academic foundation from UC Berkeley in computational imaging and signal processing with hands-on production experience at KLA and a startup role at Deepnight (YC W24). His research on unsupervised deep learning for inverse problems was accepted to ISMRM, and he has practical skills spanning FPGA/embedded implementations, computer architecture, and efficient low-level code. Sukrit also has a track record of teaching and creating application-focused labs at Berkeley, bridging pedagogy and research to make complex imaging concepts accessible. He brings a rare mix of algorithmic depth and systems-level execution, comfortable moving ideas from novel research to deployed, high-performance systems.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computational Imaging - Machine Learning - Signal Processing, Master of Science - MS Computational Imaging - Machine Learning - Signal Processing at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
High School, High School at Saint Francis High School
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Sukrit Arora - Founding Research Engineer at Deepnight (YC W24)