Summary
Steven Rivadeneira is a Senior Guidance, Navigation, and Control engineer with eight years of aerospace experience, currently developing GNC and computer vision algorithms for Lockheed Martin's ARRW and Tactical Boost Glide programs. An MIT Course 16 graduate with an MS from Georgia Tech, he combines rigorous academic training with hands-on systems work spanning vehicle design, propulsion research, and mission-level logistics for NASA studies. He has a track record of translating messy, real-world data into predictive tools—leading NLP-driven crew time modeling and logistics estimators for deep-space mission planning. Comfortable across Matlab/Simulink, C++, and rapid prototyping workflows, he excels at robust control and estimation methods (Kalman, LQR/LQG, H-infinity) applied to challenging flight regimes. Based in Orlando, he is focused on maturing industry experience to create enduring, human-centered aerospace technologies.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Aerospace, Aeronautical and Astronautical Engineering, Bachelor of Science (B.S.), Aerospace, Aeronautical and Astronautical Engineering at Massachusetts Institute of Technology
Master of Science (M.S.), Aerospace, Aeronautical and Astronautical Engineering, 4.0, Master of Science (M.S.), Aerospace, Aeronautical and Astronautical Engineering, 4.0 at Georgia Institute of Technology
Associate of Arts (A.A.), Aerospace, Aeronautical and Astronautical Engineering, Associate of Arts (A.A.), Aerospace, Aeronautical and Astronautical Engineering at The Honors College at Miami Dade College
Spanish, English, French