Summary
Alexander G is a research scientist and applied-math-trained innovator with two decades of experience building cloud-native, AI/ML-driven solutions for healthcare, public sector, and industry. He currently researches and prototypes GenAI applications at AWS Envision Engineering while serving as an adjunct professor at Loyola Medicine, where his work spans computational epidemiology, causal methods, and student mentorship. His career blends academic rigor (PhD in applied mathematics) with product delivery—designing a cloud-based epidemiological dashboard, inventing a patent-pending multiscale modeling method, and leading ML-driven platforms as CTO. He has repeatedly turned analytics into impact, securing millions in grants and driving models that informed care for tens of millions and created significant revenue. Comfortable from low-level algorithm design to enterprise LLM deployments and cloud data engineering, he brings a rare mix of theoretical depth and production focus. Based in Chicago, he quietly combines academic publication track records with hands-on system architecture and rapid, mission-critical analyses.
11 years of coding experience
14 years of employment as a software developer
Ph.D Applied Mathematics with Computer Science, Ph.D Applied Mathematics with Computer Science at Cornell University
Master's degree Applied Mathematics with Biology, Master's degree Applied Mathematics with Biology at University of Waterloo
Spanish, Russian