Ishan Mohanty
About Ishan Mohanty
Ishan Mohanty is a Machine Learning and Computer Vision Software Engineer currently employed at Pattern Computer in Redmond, Washington. He has a background in Electrical Engineering, holding a Master of Science from the University of Southern California, and has previously worked at Robert Bosch Engineering and Business Solutions and Tech Mahindra.
Current Role at Pattern Computer
Ishan Mohanty has been employed at Pattern Computer since 2019 as a Machine Learning and Computer Vision Software Engineer. In this role, he focuses on developing inference models and novel algorithms specifically for computer vision and image processing applications. His work contributes to advancing the capabilities of machine learning technologies within the organization.
Previous Experience at Tech Mahindra
Prior to his current position, Ishan Mohanty worked at Tech Mahindra from 2013 to 2017 as a Software Development Engineer. During his four years there, he designed and implemented embedded application software for long-haul optical transport networks at the Tech Mahindra R&D Center. This experience provided him with a solid foundation in software development and engineering.
Internship at Robert Bosch Engineering
Ishan Mohanty completed a project internship at Robert Bosch Engineering and Business Solutions Ltd. in 2013. This internship lasted for three months and took place in Bangalore, Karnataka, India. This early experience in the industry helped him gain practical knowledge and skills in engineering.
Educational Background
Ishan Mohanty earned a Master of Science in Electrical Engineering from the University of Southern California, studying from 2017 to 2019. Prior to this, he obtained a Bachelor's degree in Electronics and Communications Engineering from Jain (deemed-to-be University) between 2009 and 2013. His educational journey began at National Public School, where he studied from 1994 to 2009.
Research and Interests
Ishan Mohanty has conducted research on Anomaly Detection in the Brain using Machine Learning at the Signal and Image Processing Institute at USC. He has a strong interest in the mathematical foundations of AI algorithms, which informs his approach to machine learning and computer vision.