Yaroslav Bezrukavyi is a Senior Fullstack Engineer based in London with a decade of hands-on experience building scalable web platforms and data pipelines using Ruby, TypeScript, and Python. He has driven platform architecture and integrations across e-commerce and logistics products, implementing event-driven systems on AWS (SNS/SQS/Lambda), Apollo Federation microservices, and real-time features powered by AI and LLM-backed RAG search. Comfortable across frontend and backend boundaries, he has optimized performance at the database and search layer (Postgres, Elasticsearch, DynamoDB), led frontend architectures for large real-time datasets, and improved CI/CD and test automation at scale. Notably, he has shipped ML-driven features for churn detection and an AI "Complete the Look" recommendation, reflecting a blend of data engineering and applied ML in production. His background in Economic Cybernetics gives him a quantitative bent for designing observability and data-driven solutions alongside product-focused engineering.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Economic Cybernetics, Master's degree, Economic Cybernetics at Oles Honchar Dnipro National University
Contributions:2 PRs, 152 pushes, 6 branches in 5 months
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Yaroslav Bezrukavyi - Senior Fullstack Engineer at Burberry