Designing mission-critical systems and high-fidelity aerodynamics — from debris constellations to supersonic inlets. M.S. candidate specializing in MBSE, compressible flow, and ML-driven aerospace solutions.
I'm Madhav Sehgal, an aerospace engineer currently pursuing my M.S. in Aerospace Engineering at the University of Michigan, with a focus on Model-Based Systems Engineering (MBSE), compressible CFD, and machine learning pipelines for high-speed aerodynamics.
I completed my B.Tech in Aerospace Engineering from Amity University, India, where I earned honors in Spacecraft Engineering. My undergraduate years were defined by hands-on leadership — from developing CubeSat systems and supersonic inlet flow control to leading a three-year NASA Human Exploration Rover program that earned national recognition for safety and STEM engagement.
Originally from New Delhi, India, I've always been drawn to the intersection of rigorous engineering and real-world impact. Whether it's designing debris tracking constellations at Michigan, building Bayesian neural networks for shock-train prediction at the Gas Dynamics Imaging Lab, or founding JarWiz — an EdTech platform that brought STEM education to underserved communities for four years — I approach every challenge with systems thinking and a commitment to delivery.
Beyond aerospace, I believe in building bridges between technology and people. I've worked at DRDO's Advanced Systems Lab and Centre for Airborne Systems, delivered full-stack products like TestBedz for space testing workflows, and contributed to research published in Springer and AIAA conferences.
From founding a rocketry division in India to conducting research at Michigan's Gas Dynamics Lab, every step has built toward engineering systems that matter.
From trade-driven constellation architectures to uncertainty-aware ML pipelines, these projects represent rigorous engineering with defendable outcomes.
Peer-reviewed contributions spanning shock-train effects, SWBLI control, structural dynamics, and space infrastructure innovation.
A condensed view of my technical skills, project experience, publications, and leadership — tailored for aerospace systems roles, CFD positions, and research opportunities.
Download PDFI'm open to research collaborations, internships, and full-time roles in aerospace systems engineering, high-speed aerodynamics, and ML-driven aerospace applications. Based in Ann Arbor, MI — originally from New Delhi, India.