Summary
Deepesh Padala is a robotics-focused engineer with 8 years of hands-on experience building embedded systems, control and perception pipelines across aerial, ground and underwater platforms. Currently a HiWi at Technische Universität Darmstadt, he develops flexible drone systems and is actively exploring reinforcement learning for robot control. His background spans formal optimal control for quadrotor swarms, firmware for CrazyFlie drones, sensor fusion and MPC for autonomous vehicles, and practical conversions of combustion vehicles to electric and autonomous operation. Deepesh blends electrical, mechanical and computer science skills to turn research ideas into working prototypes, having implemented higher-order control barrier functions, graph neural approaches for multi-traveling-salesman variants, and custom distributed embedded software. Based in Darmstadt, he combines academic rigor from TU Darmstadt and IISc with a pragmatic “build-to-learn” ethos that colleagues joke makes him a self-proclaimed mad scientist.
8 years of coding experience
3 years of employment as a software developer
Technischen Universität Darmstadt
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at Vellore Institute of Technology
High School Diploma, Mathematics and Computer Science, 12th, High School Diploma, Mathematics and Computer Science, 12th at PSBB KKN