Apr 2022 – May 2024 · 2 yrs 1 mo · Pittsburgh, Pennsylvania, United States

• Led the development of a production-level ML pipeline for learning the AV motion planner with human feedback, including data extraction, large scale labeling, and training.

May 2021 – Aug 2021 · 3 mos · Cupertino, California, United States

• Worked on developing advanced robot motion planning algorithms for problems with complex constraints. Conceptualized a novel algorithmic solution that was deployed and tested in simulation and on a real hardware system.
• Worked with Martin Levihn and Chris Clark in Special Projects Group, Apple.

May 2019 – Aug 2019 · 3 mos · Santa Clara, California, United States

• Developed algorithms for derivative-free optimization in high dimensions with applications to black-box policy search in reinforcement learning.
• Worked with Vladlen Koltun and Ozan Sener at Intelligent Systems Group in Intel Labs.

Sep 2015 – Jul 2017 · 1 yr 10 mos · Greater Pittsburgh Area

• Developed the motion planning and high-level decision stack for a large-scale truck unloading robot in collaboration with Honeywell Intelligrated.
• Worked with Oren Salzman at NREC.

May 2014 – Jul 2014 · 2 mos · Pittsburgh, Pennsylvania

• Worked on analyzing inherent assumptions required by motion planning algorithms to succeed in practice.
• Worked with Sanjiban Choudhury and Sebastian Scherer in the Air Lab, Field Robotics Center, Robotics Institute.

May 2013 – Jul 2013 · 2 mos · Bangalore, India

• Research assistant in the stochastic systems lab under Prof. Shalabh Bhatnagar

Apr 2012 – Jun 2012 · 2 mos · Hyderabad Area, India

• Technical Intern in the Data acquisition department under N. Ashok Kumar