Karthik Lakshmanan
About Karthik Lakshmanan
Karthik Lakshmanan is a Staff Perception Engineer at Zipline, where he has worked since 2021. He has over a decade of experience in robotics and machine learning, with previous roles at companies like Uber and Aurora, and has an extensive academic background from institutions such as Carnegie Mellon University and UC Berkeley.
Work at Zipline
Karthik Lakshmanan has been employed at Zipline as a Staff Perception Engineer since 2021. In this role, he focuses on developing and applying advanced techniques in machine learning, robotics, and perception. His work contributes to Zipline's mission of using drone technology to deliver medical supplies and improve healthcare logistics.
Education and Expertise
Karthik Lakshmanan holds a Master of Science in Robotics from Carnegie Mellon University, where he studied from 2012 to 2014. He also earned a Bachelor of Science in Electrical Engineering and Computer Science from the University of California, Berkeley, from 2008 to 2012. His educational background is complemented by extensive experience in both academic research and industry, particularly in perception and machine learning.
Background
Karthik Lakshmanan is currently based in Pittsburgh, Pennsylvania. He has a diverse professional background, having worked in various roles related to perception and robotics. His career includes positions at notable organizations such as Uber Advanced Technologies Group, Aurora, and UC Berkeley, where he contributed to significant projects in the field.
Professional Experience
Before joining Zipline, Karthik Lakshmanan worked at Aurora as a Staff Tech Lead Manager in Perception for 10 months. He also served as a Founding Engineer in Perception & Machine Learning at Aurora from 2017 to 2020. His earlier roles include positions at Uber Advanced Technologies Group as a Perception Engineer and as an Undergraduate Researcher at UC Berkeley's Robot Learning Lab.
Achievements in Research and Development
Karthik Lakshmanan has developed and applied cutting-edge techniques in machine learning, robotics, and perception throughout his career. His work has focused on solving impactful real-world problems, showcasing his commitment to advancing technology in practical applications.