Scott Sims is a systems-focused engineer with 15 years of experience turning data into models and reliable, scalable software across aerospace, defense, and education. He blends hands-on development with rigorous analysis, from SITL simulations and CI-driven workflows at Solipsys to performance insights that supported a ~20% cost-savings redesign at Honeywell. As a dedicated educator, he trained 1,000+ students in physics, chemistry, and math, shaping his ability to translate complex concepts into practical guidance and strengthening his interest in cognitive AI. A Georgia Tech graduate with MS degrees in Computational Science and Aerospace Engineering, he has built deep-learning prototypes to accelerate bubbly fluid dynamics and continues to apply ML, DL, RL, NLP, and generative AI in data science projects. Now based in Atlanta, he is pursuing IBM's AI Engineering certification and sharpening SQL/Python skills (SciPy, scikit-learn, PySpark, Keras, PyTorch), with an eye toward deploying scalable AI workflows on platforms like AWS SageMaker or Palantir Foundry.
16 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Aerospace, Aeronautical and Astronautical/Space Engineering, Master of Science - MS, Aerospace, Aeronautical and Astronautical/Space Engineering at Georgia Institute of Technology
Post-Baccalaureate, Mathematics, 4.0, Post-Baccalaureate, Mathematics, 4.0 at University of North Georgia
Contributions:67 commits, 3 pushes, 4 issues in 7 years 9 months
factorypage-objectrubyselenium-webdriverselenium
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.