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Computer Engineering Student focusing on the intersection of AI and IC Design.
Currently researching Deep Learning-based Signal Processing and MRAM Decoding.
A high-performance CNN (RF-SpectroNet) designed for Edge AI. It classifies 12 Telecom & Radar signals with 91.83% accuracy while staying under 90k parameters.
A modular Monte-Carlo simulation framework for STT-MRAM channel modeling and decoder evaluation. Reproduces 7/9-rate sparse code performance from IEEE Access (2021) and provides a plug-and-play arc…