AIRA Matrix Private Limited
Nitin Singhal's work experience includes holding the position of Head of Products at AIRA MATRIX since March 2019. Prior to that, they served as a Senior Chief Engineer at Samsung Electronics from March 2017 to February 2019. Nitin also worked at GE Global Research as a Lead Engineer from April 2014 to February 2017, and as a Research Engineer from February 2012 to March 2014. Before joining GE, Nitin was a Research Engineer at Samsung Electronics from September 2008 to January 2012, where their work focused on high-performance computing on handheld devices using graphics processors. Nitin also has experience as a Research Assistant at the Signal Processing Lab, Seoul National University from September 2006 to August 2008. In addition, Nitin completed research internships at Samsung Electronics in May 2007, ENST Bretagne in May 2005, and Bhabha Atomic Research Centre in May 2004.
Nitin Singhal has a Master of Science degree in Electrical and Computer Science from Seoul National University, which they obtained from 2006 to 2008. Prior to that, they completed their Bachelor of Technology degree in Electronics and Communication from the Indian Institute of Technology, Guwahati, from 2002 to 2006. Nitin Singhal also holds a Lean Six Sigma Green Belt certification from GE, which they obtained in January 2014. There is no information provided about their education before attending the Indian Institute of Technology, Guwahati.
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AIRA Matrix Private Limited
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AIRA MATRIX is a software company that provides image analysis and management solutions for preclinical toxicology and pathology applications. The company’s decision-support solutions help improve workflow efficiency and increase diagnostic accuracy in research labs, drug discovery studies, and clinics. They develop and design comprehensive DigitalPathology solutions.AIRA MATRIX deep-learning-based platform helps pathologists analyze large volumes of image data and quickly helps focus on relevant study findings. Their solutions go well beyond the simple marking applications currently offered in the industry, instead, their solutions address the more complex workflow processes and image analysis issues faced in pathology reporting.