Summary
Sourabh Misal is a founding embedded systems engineer with about eight years of hands-on experience designing firmware and hardware for assistive tech, autonomous retrofit kits, drones, and service robots. He has led development of EEG-based neural interface firmware at Synaptrix that enables affordable brain-and-eye-controlled wheelchair retrofit solutions and delivered ARK control systems at Flux Auto that improved operational reliability by over 20%. Comfortable across low-level drivers, RTOS-based stacks, and ROS2/PX4 integrations, he has synchronized high-rate camera and IMU streams on Jetson and NuttX and optimized TensorRT perception pipelines for real-time embedded navigation. A pragmatic problem-solver, he has shipped robust battery-backed data loggers, custom motor control systems, and AC dimmer/home-automation prototypes while coordinating cross-functional teams. Based in New York with an MS in Computer Engineering from NYU Tandon, he blends academic research rigor with startup execution and a keen interest in signal processing, control, and applied AI. An uncommon strength is his track record of turning research-grade perception and neural interfaces into field-ready embedded products.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at NYU Tandon School of Engineering
Robotics Software Nanodegree, Autonomous Systems, Robotics Software Nanodegree, Autonomous Systems at Udacity
JSS Public School
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Dayananda Sagar College of Engineering, BANGALORE
Pre University, Pre University at SKCH Composite PU College
English, Kannada, Telugu, Japanese