About

Varsha Manjunath is a highly motivated and diligent Software Engineer Intern at Juniper Networks, where she is currently working on developing innovative solutions to complex software engineering problems. She is also a Graduate Teaching Assistant at UCSD, where she teaches courses on Big Data Analytics with Spark and Discrete Mathematics. Varsha has a strong background in computer science and has worked on several projects that have involved the use of cutting-edge technologies such as deep learning frameworks and visual-inertial odometry. She has previously worked as a Project Intern at the Indian Institute of Science, where she optimized trajectory drift for a baseline model for visual odometry using a frame-based camera and worked on a deep learning framework for Robot Pose Estimation with a Neuromorphic Camera. Varsha has completed her Bachelor of Engineering in Computer Science from Ramaiah Institute of Technology and is currently pursuing her Master of Science in Computer Science from the University of California, where she is expected to graduate in September 2022. She has also completed her high school education from Presidency School, NLo, and VVS Sardar Patel PU College. Varsha is proficient in several technologies, including Spark, Big Data, and Deep Learning. She has 0.68 years of relevant experience in the field of software engineering and is always eager to learn and take on new challenges. Her passion for technology and her strong work ethic make her an asset to any team she works with.