Summary
Roman Semenyk is a Senior Solutions Architect with 12 years' experience designing cloud-native, data-intensive and ML-enabled systems across enterprise and consulting environments. He has led teams and delivered architectures for Azure Synapse, Databricks and cloud migrations, blending hands-on engineering with technical leadership at Heidelberg Materials and adesso SE. Roman excels at turning complex integration problems and high-load requirements into elegant, pragmatic solutions, often choosing the right tool for each use case rather than defaulting to trends. His background spans .NET, C++, Node.js, modern frontends and CI/CD, with practical experience in IoT, trading platforms and enterprise data lakes. Trained in machine learning via Udacity and grounded by a master's in economics, he combines analytical rigor with systems thinking to drive measurable business value. Colleagues appreciate his ability to shepherd pilots into production while keeping an eye on sustainability and long-term operational resilience.
12 years of coding experience
15 years of employment as a software developer
Machine Learning Engineer Artificial Intelligence, Machine Learning Engineer Artificial Intelligence at Udacity
Master's degree Economics, Master's degree Economics at Taras Shevchenko Kiev National University
Computer Software Engineering, Computer Software Engineering at Computer Academy “STEP”
English, German, Ukrainian, Russian