Agastya Kalra
About Agastya Kalra
Agastya Kalra is a Tech Lead in Perception R&D at Intrinsic, based in Mountain View, California. He has a robust background in machine learning and computational imaging, having held significant roles at various technology companies and contributed to academic research.
Work at Intrinsic
Agastya Kalra serves as the Tech Lead for Perception R&D at Intrinsic, a position he has held since 2022. Located in Mountain View, California, he focuses on advancing the company's research and development in perception technologies. His role involves leading projects that integrate machine learning with computational imaging and computer vision, contributing to the development of innovative products.
Previous Experience at Akasha Imaging
Before joining Intrinsic, Agastya Kalra worked at Akasha Imaging as a Principal Engineer and Founding Member from 2019 to 2022. His contributions were pivotal in shaping the company's early development and direction. This role involved leveraging his expertise in machine learning and computational imaging to drive product innovation.
Experience at Focal Systems, Inc.
Agastya Kalra held multiple positions at Focal Systems, Inc. He served as the Director of Deep Learning from 2018 to 2019 and was the First Deep Learning Engineer from 2017 to 2018. In these roles, he focused on developing deep learning algorithms and applications, enhancing the company's technological capabilities.
Education and Expertise
Agastya Kalra studied Mathematics and Computer Science at the University of Waterloo from 2015 to 2017, completing his second year. His academic background laid the foundation for his expertise in machine learning, computational imaging, and computer vision. He also engaged in research as a Machine Learning Researcher and Guest Lecturer at the same university from 2017 to 2019.
Internship Experience
In 2016, Agastya Kalra completed a three-month internship at Athos as a Data/Machine Learning Engineering Intern. This experience provided him with practical skills in data analysis and machine learning, further enhancing his technical capabilities in the field.