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Nikhil is an undergraduate member of the Mixed Mode Integrated Circuits and Systems research lab at Caltech. He is excited to be a part of ongoing research into low-power biomedical devices and integrated circuits with machine learning applications. In addition to CMOS design, he is also interested in hardware and software development for embedded systems and is aiming to continue his studies as a Ph.D. student following his undergraduate education. While at Caltech, he has been an electrical board lead for the Caltech Formula SAE team, designing and assembling the core board, shutdown circuitry, and electrical interlock circuitry for the vehicle. During the summer of 2018, Nikhil worked as an intern at Forza Silicon Corporation, helping develop an autonomous system for quantum efficiency analysis of image sensors, and working as an analog designer for one of the company’s CMOS image sensors. As part of the MICS lab at Caltech, he developed a smartphone application interface for an implantable glucose sensor, capable of communicating and obtaining data via Bluetooth Low Energy and near-field communication. He is currently contributing to the ATOMS project, helping design, assemble, and develop the software for an ingestible smart pill PCB capsule. He is also contributing to the design of a CMOS chip capable of implementing fully-connected/convolutional neural networks in analog/mixed-signal circuitry while learning on the noise inherent in the hardware itself.