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Aditi S. is a Software Engineer currently employed at Undo since 2021, with prior experience at Agiliad from February 2019 to July 2019, where Aditi collected and annotated datasets, optimized the Darknet Convolutional Neural Network (YOLOv2 CNN) framework, and achieved a 98% object identification accuracy at 30 FPS while improving energy efficiency with OpenCL and CLBLAST on the IMX8 GPU. Aditi holds a Master's degree in Computer Science and Electrical Engineering from UC Irvine (2019-2021) and a Bachelor of Engineering in Electronics and Telecommunication from the University of Mumbai (2014-2018), along with training from the Center for Development of Advanced Computing (C-DAC) in 2018-2019.