Summary
Kanstantin Karaliov is a software engineer with 8 years of hands-on experience building Python-based solutions from research-grade algorithms to production services, now based in the Austin area. With a bachelor's in applied mathematics, he has deep domain experience in logistics and GIS problems—designing algorithms for optimal network and facility placement—and has implemented RESTful services, tile servers, and testing layers. He has also worked on cloud-backed simulation and training platforms, gaining practical AWS architecture and remote machine pooling experience. Known for strong problem-solving and rapid learning, he combines mathematical rigor with pragmatic software engineering to turn complex optimization requirements into reliable applications. An often-overlooked strength is his ability to produce clear, user-focused documentation for non-programmers, bridging domain experts and engineering teams.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Saint Petersburg State University