As a graduate student at Georgia Tech, I study Computational Science and Aerospace Engineering, focusing on machine learning, data-driven physics, and optimal controls. One of my diverse interests is trajectory optimization.
At Honeywell, I was a systems simulation engineer who analyzed the performance of inertial navigation systems. Also, I applied Agile methodologies and continuous integration to develop simulation software, leveraging MATLAB Simulink, Stateflow, and C/C++.
For 8+ years, I educated students in Physics, Chemistry, and Mathematics. I served six of these years at the University of North Georgia. During undergrad, I researched solid-state physics, graphene, superconductivity, and spectral solutions to wave equations using the FFT.
Familiar SW tools include Python, PyTorch, Pandas, scikit-learn, C/C++, Julia, R, Tableau, PostgreSQL, and AWS, among others.More...