Anil Hebbar
About Anil Hebbar
Anil Hebbar is a Senior Firmware Engineer with extensive experience in embedded systems and signal processing, currently working at AliveCor Inc. He has held various engineering roles at companies such as Robert Bosch, Qualcomm, and Broadcom, and has a strong educational background in Electrical and Electronics Engineering.
Work at AliveCor
Anil Hebbar has been employed at AliveCor Inc. as a Senior Firmware Engineer since 2020. His role involves the development and optimization of firmware for medical devices, focusing on signal processing and embedded systems. Located in Mountain View, California, he contributes to the design and implementation of algorithms that enhance the functionality of wearable medical technology.
Previous Employment History
Before joining AliveCor, Anil Hebbar held various engineering positions across multiple companies. He worked at minds.ai as Head of Engineering from 2014 to 2020, where he led engineering efforts in San Jose, California. Prior to that, he was a Principal Engineer at Atheros Communications from 2008 to 2012 and at Broadcom from 2006 to 2008. His experience also includes a tenure at Qualcomm as a Senior Staff Engineer in 2011-2012 and at arraycomm as a Software Engineer from 1998 to 2002. He began his career at Robert Bosch India as a Software Engineer from 1994 to 1997.
Education and Expertise
Anil Hebbar earned a Master's degree in Electrical and Electronics Engineering from Virginia Tech, studying from 2002 to 2004. He also holds a Bachelor of Engineering degree in Electrical Engineering from the National Institute of Technology Karnataka, where he studied from 1988 to 1992. His academic background supports his expertise in digital signal processing (DSP) and embedded systems, particularly in wireless and automotive controllers.
Technical Skills and Specializations
Anil Hebbar possesses extensive experience in designing and implementing signal processing algorithms specifically for wearable medical devices. He is skilled in managing geographically distributed teams to complete complex projects successfully. His proficiency in Matlab and Python enhances his capability in signal processing and data analysis. Additionally, he has a strong background in neural networks for embedded controllers.