Miguel Ruiz is an Applied Mathematician and Software Engineer with eight years of experience building full-stack applications and diagnostic tooling, currently working as a Software Engineer IC2 at Oracle. He combines a strong theoretical background in quantum computing and applied math—authored research on continuous-time quantum walks and a persistent-homology turbulence index—with practical ML and engineering skills in Python, Scikit-Learn, TypeScript, and Flutter. Miguel has delivered production systems from an ERP for fast-food businesses to public-health and government apps, and his work diagnosing Oracle Database test failures shows a detail-oriented, test-driven approach to reliability. He is curiosity-driven, contributes reproducible research and simulations (including large-genotype quantum walk studies), and pursues an MS in Applied Mathematics at CIMAT. Notably, his research found quantum hitting times can be substantially shorter than classical counterparts, highlighting a rare blend of domain research and hands-on product delivery.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Thesis in Quantum walks over genotype networks, Bachelor of Science - BS, Mathematics, Thesis in Quantum walks over genotype networks at Universidad de Guanajuato
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Centro de Investigación en Matemáticas
Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning, Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning at 2021 Qiskit Global Summer School on Quantum Machine Learning
Contributions:9 commits, 7 pushes in 1 year 2 months
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.