About

Radha Agarwal is a Radar Software Engineer at Texas Instruments India, with a strong background in software engineering and a passion for machine learning and embedded systems. She recently completed her M.Tech in Electronic System Engineering from IISc Bangalore, where she gained expertise in C, Python, MATLAB, Verilog, and VHDL. Her experience includes working on projects involving ML, embedded systems, ASIC design, and processor design, with a focus on mmWave radar signal processing for on-edge machine learning applications. Radha is a quick learner and an excellent listener, with a strong passion for technology and a desire to keep learning. Outside of work, she enjoys watching web series, dancing, cycling, and playing badminton. She is also a Green-1 belt in Taekwondo. Radha's technical expertise includes software engineering, machine learning, Python, and web development. She has worked as an intern at Texas Instruments, where she was responsible for the classification of FMCW Radar Micro-Doppler signatures and the implementation of an end-to-end pipeline on a radar board. Radha's education includes a Bachelor's degree in Electronics and Communication Engineering from IET and a Master's degree in Micro-electronics & VLSI Design from IISc Bangalore. She also has a strong academic background, having completed her intermediate and high school education from Alpine Public School. Overall, Radha is a highly skilled and passionate Radar Software Engineer with a strong background in software engineering and a deep interest in machine learning and embedded systems. She is a quick learner, an excellent listener, and a dedicated team player who is always looking for ways to improve her skills and contribute to her team's success.