Summary
Yevgen Nerush is a Principal Engineer in AI/ML based in Rotterdam with 12 years building scalable, production-grade data and distributed systems across finance and enterprise SaaS. At Mendix (Siemens) he drives Low-Code GenAI capabilities after progressing from tech lead and senior engineer roles where he co-designed a data lake, implemented AI-driven development agents, and contributed to runtime and Scala compiler work. His background as a physics scientist-turned-programmer informs a research-minded approach to engineering complex pipelines using Scala, Spark, AWS and deep learning frameworks. Notable past work includes designing fault-tolerant peer-to-peer schedulers for major financial institutions and cutting build time for data-processing components by a factor of three. He blends hands-on coding, architecture design and team leadership to turn ML research into reliable, scalable product features.
12 years of coding experience
16 years of employment as a software developer
SCS Cybernetics, SCS Cybernetics at IBMT
English, Dutch, Ukrainian, Russian