Summary
Vadim Korotkikh is a lead software engineer and machine learning specialist with nearly a decade of experience building ML-driven systems for defense and satellite programs. He designs and architects production software and AI tools for the US Navy, Missile Defense Agency, and NOAA/NASA GOES-R projects, translating complex physics and telemetry into validated, automated analytics. Trained as an astrophysicist with advanced data science credentials, he blends strong mathematical modeling and algorithm design with hands-on implementation in TensorFlow, Keras, and scientific tooling. His work spans anomaly detection, reinforcement learning in simulated physics environments, and telemetry database integration—often creating bespoke validation and QC frameworks that scale across large measurement sets. A pattern-oriented quick learner and independent contributor, he thrives on turning noisy engineering telemetry into actionable insights for mission-critical systems. Based in Columbia, Maryland, he brings a rare combination of space-science rigor and operational software leadership to generative AI and LLM research.
9 years of coding experience
10 years of employment as a software developer
Master's degree Data Science and Analytics, Master's degree Data Science and Analytics at University of Maryland
English, Russian