I am a recent graduate student of the Master of Science in Robotics program from the Robotics Institute, Carnegie Mellon University. At CMU, I worked with Prof. Maxim Likhachev at the Search Based Planning Lab. My research at CMU was focussed on developing a high precision pose estimation (3D object detection) algorithm called PERCH 2.0, that can be used for robotic manipulation in complex environments. PERCH 2.0 achieves high accuracy and low training requirement through a combination of deliberative and discriminative perception techniques.
In the past 6 years, I have worked with multiple academic advisors, startup founders and managers to further the research at their labs, help turn tech ideas into products at their startups or enhance the status quo of projects being undertaken at their company. Through these engagements, I have acquired a diverse skill set that spans multiple programming languages, platforms and devices.
I am currently a Robotics Engineer at Nimble AI, a San Francisco based startup focussed on warehouse automation through robotic manipulation. As a part of the Computer Vision team, my responsibilities at Nimble are to research, design and deploy perception algorithms that are accurate (for high manipulation success), fast (for a high task throughput) and scalable (for rapid deployment).