About

Aradhita Sharma is a graduate student in Electrical Engineering with a strong interest in Signal Processing and Machine Learning applications. She is currently working as a Research Assistant at the Sensor Signal and Information Processing (SenSIP) Center at Arizona State University, where she is involved in Quantum Machine Learning for Audio applications. Aradhita has previously worked as an Audio Software Intern at Analog Devices, where she developed a system based on Machine Learning approach to infer proximity of a user from a microphone based on speech signals. This approach could be used to apply unique tuning profiles to speech sensitive signal processing. She has also worked as a Summer Intern at IIT Kanpur, where she worked on B4sync-JavaScript, developing a robust and resilient peer to peer video conferencing solution including torrent based webRTC chain with an authentication system and separate room functionality. Aradhita's educational background includes a Bachelor of Technology in Electronics and Communications Engineering from NIT Hamirpur and a Master of Science in Electrical and Computer Engineering from Arizona State University. She has also completed her Senior Secondary Education from Blue Star Public School, Hamirpur, HP, where she ranked 13th in the state level, and her Secondary Education from DAV Public School, Hamirpur, HP, where she scored a CGPA of 10.00 (95%). Aradhita's tech stack includes expertise in Research Scientist, Machine Learning, P2P, and JavaScript. With 0.36 years of relevant experience, Aradhita is a highly motivated and skilled Electrical Engineer with a passion for Signal Processing and Machine Learning.