Summary
Sandesh Sharma is a founding engineer specializing in drone autonomy and embedded software, blending 11 years of hands-on experience across robotics, perception, and neural network quantization. He has shipped production-level components at startups and labs—working on landing-spot detection for MAVs at DLR, dock-landing perception at Skydio, and low-bitwidth LLM/NN quantization and accumulator optimization during a thesis and working-student role at Recogni. Comfortable across C++, Python, ROS, OpenCV and embedded drivers, he thrives at the intersection of low-level systems and ML-driven perception. A filmmaker at heart, he brings an emphasis on user-experience and rapid, almost “magical” delivery—turning days of engineering into seconds of impact. Based in Munich, he pairs rigorous academic training from TUM and CDTM with field-tested autonomy work, including rover-and-drone experiments on Mt. Etna.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Informatics, 1.4, Bachelor's degree, Informatics, 1.4 at Technical University Munich
Master of Science - MS, Informatics, Master of Science - MS, Informatics at Technical University of Munich
exchange semester, Computer Science, exchange semester, Computer Science at National University of Singapore
Honors Degree, Technology Management, Honors Degree, Technology Management at Center for Digital Technology and Management (CDTM)
Abitur, focus on physics and social studies, 1.0, Abitur, focus on physics and social studies, 1.0 at Kepler Gymnasium Freiburg
Electronics/Working with Microcontrollers, N/A, Electronics/Working with Microcontrollers, N/A at Freiburg Seminar
German, English