2025 — NowSymboticSenior Software Engineer - Robot Controls

2025 — Now

2023 — 2025SymboticAdvanced Software Engineer - Robot Controls

2023 — 2025

2020 — 2023Embark TrucksMotion Planning Engineer

2020 — 2023

San Francisco Bay Area

Enhanced planning module and simulation interface

Developed tools for analyzing and tuning trajectory generation algorithms

Designed and implemented a new software architecture for the trajectory generation module for improved debuggability, logging capabilities, and extensibility

Implemented high-performance collision handling framework in C++

Applied convex optimization, optimal control theory for trajectory optimization

Utilized object-oriented design principles

Implemented complex data structures and algorithms

Conducted data analysis using Python and Databricks

2019 — 2019Luminar TechnologiesControl Systems Intern

2019 — 2019

Palo Alto, California, United States

* Developed a tool in C++ for analysis of the controllers for autonomous driving.

* Conducted initial research and came up with methods and requirements for the analysis to design the software architecture

* Used IPOPT, ACADO for controller prototyping.

* Used various tools like GDB for debugging, GTest for writing unit tests, and Git version control for development.

2018 — 2019MathWorksRobotics Path Planning Development Intern

2018 — 2019

Natick, Massachusetts, United States

* Surveyed existing algorithms for local path planning and analyzed their performance and limitations

* Implemented the same algorithms, as prototypes, for path planning and path following that can be applied to ground robots and car-like robots in MATLAB. Developed workflow examples in MATLAB with simulated robots (MATLAB Simulator and ROS/Gazebo)

Education

Worcester Polytechnic Institute

Masters in Robotics

Udacity

Nano Degree

Udacity

Nano Degree

Rajiv Gandhi University of Knowledge Technologies, RKValley (RAC)

Experience+

Education

Masters in Robotics

Nano Degree

Nano Degree

Bachelor's degree