Summary
Yuri Khrustalev is a seasoned software engineer with over 15 years of experience designing and shipping production inference systems, edge runtimes, and cloud-native infrastructure. Currently a Member of Technical Staff at Liquid AI after building multimodal, multithreaded Edge LLM prototypes for automotive at Amazon, he blends low-level C++/Rust systems work with Python orchestration and Android integration. His background spans data engineering, DevOps, and platform roles—migrating monoliths to services, rationalizing multi-cloud Terraform estates, and delivering real‑time prediction pipelines. Comfortable across languages and layers, Yuri has repeatedly solved hard performance and concurrency problems in production fleets and constrained sensor environments. Trained as a physicist, he brings a rigorous, analytical approach—“think deep, work hard”—and a track record of unifying long-lived forks and legacy stacks into maintainable platforms.
9 years of coding experience
16 years of employment as a software developer
Master of Science (MS) Physics Radiophysics, Master of Science (MS) Physics Radiophysics at Voronezh State University
English