Mid-level Robotics Planning & Control Engineer specializing in UAV autonomy
Berkeley, CAResearch Scientist6 years experienceMid-LevelAerospace & DefenseRoboticsAutonomous Vehicles
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About
Robotics software engineer focused on autonomy for fixed-wing and quadrotor UAVs, with deep experience in planning and advanced control (geometric control, trajectory optimization, nonlinear MPC). Recently designed an energy-aware NMPC for an autonomous glider, building a custom simulation/visualization framework to tune reward formulations. Has hands-on field deployment experience integrating ROS with PX4, optimizing node architecture for zero-copy performance, and building heterogeneous robot comms using Zenoh.
Experience
Research ScientistAgile Robotics and Perception Lab, UC Berkeley
Integration and Testing EngineerAsteria Aerospace Ltd.
Project Application EngineerINDrone Aerosytems.
Education
New York University – Tandon School of Engineeringmaster, Robotics (2024)
Visvesvaraya Technological University - Jyothy Institute of Technologybachelor, Mechanical Engineering (2019)
Key Strengths
Developed and deployed planning and control algorithms on real UAVs (fixed-wing and quadrotor)
Designed energy-aware nonlinear MPC for an autonomous gliding plane
Built a simulation framework to iterate on and validate reward/cost formulations
Debugged PX4-ROS integration by abstracting NED↔ENU transforms via an interface node
Reduced communication overhead using ROS containers with intra-process, zero-copy transport
Implemented heterogeneous ground+aerial robot communication using Zenoh middleware
Structured, modular debugging approach for complex middleware/topic abstraction issues
End-to-end autonomy pipeline from Gazebo SITL to on-robot deployment using Docker for dependency management
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