Rasika Kangutkar
About Rasika Kangutkar
Rasika Kangutkar is a Product Owner for Vision and Machine Learning at Torc Robotics, where she has worked since 2017. She holds a Bachelor's degree in Computer Engineering from Vishwakarma Institute of Technology and a Master's degree from Rochester Institute of Technology, with a focus on Computer Vision and Human Robot Interaction.
Work at Torc Robotics
Rasika Kangutkar has been employed at Torc Robotics since 2017, serving as the Product Owner for Vision and Machine Learning. In this role, she oversees projects that focus on Computer Vision, integrating her expertise in machine learning and robotics. Her work contributes to the development of advanced technologies in the field of autonomous systems. Based in Blacksburg, Virginia, she has been instrumental in guiding initiatives that enhance the capabilities of robotic systems.
Education and Expertise
Rasika Kangutkar holds a Bachelor of Technology (BTech) in Computer Engineering from Vishwakarma Institute of Technology, where she also completed minors in Industrial Management from 2011 to 2015. She furthered her education by obtaining a Master's degree in Computer Engineering from the Rochester Institute of Technology from 2015 to 2017. Her academic background provides a solid foundation for her current role, particularly in areas related to machine learning and robotics.
Background
Before her current position, Rasika Kangutkar worked as a Research Assistant at the Rochester Institute of Technology from 2016 to 2017. This experience allowed her to engage in research activities that complemented her academic pursuits. She also completed her higher secondary education at Fergusson College, achieving an HSC score of 83.5% from 2009 to 2011. Her educational journey reflects a consistent focus on science and technology.
Interests in Robotics and Human Robot Interaction
Rasika Kangutkar has a keen interest in Human Robot Interaction, a specialized area within her field of expertise. This interest aligns with her focus on Robotics Software, indicating her commitment to practical applications of her studies. Her work in these areas contributes to the advancement of how humans and robots can effectively collaborate and interact.