- Worked on high-level synthesis for parallel processing of matrix-vector product computations- Achieved 40% reduction in computation time via the proposed architecture design

Worked with a group of innovation enthusiasts to brainstorm ideas and turn them into products Developed leadership skills by mentoring a group of 30 juniors to help them learn and explore various skills. Worked on numerous project ideas and participated in various national and international competitions.

•Simulated low power analog frontend amplifier in LTSpice to get EEG signals via neural interface -Derived design specifications with appropriate transistor sizing and low noise -Applied common mode feedback topology and DC feedback using subthreshold transistor•Implemented digitally controlled analog design in VGA for offset cancellation and gain variation -Used method of successive approximation for digital implementation•Extracted features from digitally… Show more •Simulated low power analog frontend amplifier in LTSpice to get EEG signals via neural interface -Derived design specifications with appropriate transistor sizing and low noise -Applied common mode feedback topology and DC feedback using subthreshold transistor•Implemented digitally controlled analog design in VGA for offset cancellation and gain variation -Used method of successive approximation for digital implementation•Extracted features from digitally converted EEG signal from ADC -In matlab,Trained neural network with EEG feature data in order to classify into type of motion -Minimized computing by using low power edge computing and approximate computing•Attended seminars of various Universities and Companies on topics related to -VLSI machine learning and neuromorphic computing -Low power analog and digital processing for IOT devices Show less