Sanjiv Krishna Vetrrivel

Led preliminary design, requirements management, and flight-test planning for an autonomous drone with computer vision for European Rover Challenge 2025. Decomposed mission-level requirements into integration and test tasks, coordinated a multidisciplinary sub-team, and performed hands-on hardware integration including electronics debugging, soldering, and harnessing.

Modeled 6-DOF flight dynamics of a hybrid quadcopter–airship autonomous vehicle on the PX4 autopilot stack using MATLAB/Simulink to enable robust guidance and control algorithm design. Validated algorithm performance through 40 hours of simulation and live flight-test validation and built documented flight test protocols to improve onboarding and repeatability.

Modeled aircraft flight dynamics in MATLAB to evaluate stability and control characteristics under extreme flight conditions and inform guidance-algorithm design constraints. Integrated flight dynamics, control dynamics, and actuator dynamics models into a unified simulation framework and analyzed 20+ flight scenarios/datasets to characterize stall recovery limits for autonomous recovery logic.

Completed a Master's in Aerospace Engineering at ISAE-SUPAERO, focusing on automatic control theory, orbital dynamics, and data and signal analysis.

Completed a BAC+3 Bachelor’s degree in Aerospace Engineering at Amrita Vishwa Vidyapeetham, covering aerodynamics and propulsion, aerospace structures and design, and avionics.