Hakka Madan

As a Mechatronics Engineer who has transitioned into the realms of Financial Technology and Computer Science, I bring a unique interdisciplinary perspective to the work place. My passion for aviation has driven me to acquire extensive hands-on experience in aerial robotics, encompassing development and research in control systems, sensor integration, mechanical optimization of multi-rotor designs, edge computing, and onboard computing for Level 4 autonomous drones. This foundation led me to focus on artificial intelligence and perception in robotics, where I delved deeper into AI/ML applications beyond traditional engineering boundaries, eventually culminating in a minor in Finance.
My research of predominantly centers around the aviation sector, particularly with the integration of Deep Learning. My most notable contribution to date involves predicting aircraft delays across the 29 busiest airports in the United States, utilizing Feedforward Back Propagation Neural Networks with an impressive accuracy rate of 99.9%.
Currently, I am refining my expertise in finance and computer science while remaining open to innovative research opportunities at the intersection of aviation and financial domains.