Summary
Ivan Shulyugin is a software and ML engineer with nine years of experience translating mathematical rigor into production-grade systems, currently building core backend services for a multi-tenant MLOps platform. He combines deep knowledge of functional, logic, and OOP paradigms—authoring an open-source Haskell library that advances ML in functional programming—with hands-on cloud-native expertise in Python, Django, Go and Kubernetes. Ivan has improved platform efficiency end-to-end, from CI/CD speedups and GPU/resource orchestration to transactional multi-service execution and scalable geospatial search. He has repeatedly bridged research and product work at CMC MSU and in industry, integrating LLMs and image-processing techniques to boost team productivity and business KPIs. Based in Phuket, he favors maintainable, well-documented code and pragmatic automations that yield measurable operational gains.
9 years of coding experience
5 years of employment as a software developer
Lomonosov Moscow State University
English, Russian