Summary
Ninad Jadhav is a robotics and autonomy researcher and software engineer with nine years of experience building distributed multi-robot systems, SLAM-enabled explorers, and production-grade autonomy for drones and storage systems. Currently a postdoctoral researcher at Harvard developing marine wildlife monitoring payloads, he combines hands-on hardware integration (custom quadcopters, Pixhawk, SDRs) with algorithm development for WiFi-based signal directionality, multi-robot exploration under bandwidth constraints, and reinforcement learning–guided rendezvous. His background includes internships and industry roles shipping ML-based symbol recognition and enterprise storage automation at 10 Imaging and Dell EMC, and deploying warehouse inventory drones and mission-planning pipelines in industry. Comfortable across C++, Python, ROS, TensorFlow/CUDA and embedded platforms, he’s known for translating academic field experiments—such as Caribbean whale-tracking expeditions—into practical autonomous systems.
10 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Arizona State University
High School, Science, High School, Science at V G Vaze College
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at SRM IST Chennai
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Harvard University
SSC, SSC at Vidya Niketan
English, Marathi, Hindi, Japanese