Amiya Ranjan

Senior Director Of IT at Ambarella

Amiya Ranjan has a diverse range of work experience spanning multiple industries. Amiya began their career as a Systems Analyst at Infosys, where they worked from 1992 to 1995. Amiya then worked as a Project Leader at DSQ Software from 1995 to 1997, followed by a role as a Sr Programmer Analyst at Crown Books in 1996. From 1998 to 2003, Amiya served as a Senior Manager at JDS Uniphase. Amiya then joined MMC Technology as a Senior Manager from 2003 to 2006. Following this, Amiya worked as the Director of IT at Santur Corporation from 2006 to 2009. Amiya then moved on to become the Sr. Director of IS/IT at MiaSole from 2009 to 2012. Most recently, Amiya has been working as the Senior Director of IT at Ambarella since 2012. Amiya is currently pursuing a Master of Information and Data Science at the University of California, Berkeley. Throughout their career, Amiya has demonstrated leadership skills and expertise in IT management, including implementing various systems such as Agile PDM, Oracle ERP, and BI.

Amiya Ranjan holds a Master of Information and Data Science from the University of California, Berkeley, obtained from 2022 to 2024, and a Bachelor of Science in Computer Science and Engineering from BIT Sindri.

Location

Santa Clara, United States

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Ambarella

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Ambarella, Inc. is engaged in the development of high-definition (HD), ultra HD video compression, image processing and computer vision solutions. Its products are used in a variety of human and computer vision applications, including security camera, advanced driver assistance (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and other robotic applications. Its low-power, high-resolution video compression, image processing, and neural network processors and software enables cameras to extract data from high-resolution video streams. It provides driver assistance systems, smart electronic mirrors, drive recorders and autonomous vehicles. Its CVflow architecture supports a variety of computer vision algorithms, including stereo obstacle detection and terrain mapping technology, and allows customers to differentiate their products by porting their own algorithms and neural networks to its CVflow-based chips.


Employees

501-1,000

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