Summary
Denis Semko is a Machine Learning Engineer based in Leipzig with 8 years of experience building cloud-native, full-stack, and ML systems across industry and academia. He blends hands-on cloud infrastructure (Azure, Terraform) and backend development (Python, Go) with frontend skills (React, Angular, D3) to deliver end-to-end solutions and production-ready ML services. His recent research at TU Berlin focused on explainable AI for transformer-based sequence generation, reflecting a strong bridge between cutting-edge LLM research and practical XAI productization. Previously at Deloitte aiStudio he led applied research into trustworthy ML, and his background in business informatics gives him a pragmatic lens for aligning technical work to business risk and compliance. Colleagues describe him as equally comfortable prototyping research ideas in PyTorch and hardening them for cloud deployment, often combining PyData tooling with infra-as-code to accelerate reproducible ML delivery.
8 years of coding experience
3 years of employment as a software developer
Upper Secondary Education Diploma (Abitur), Upper Secondary Education Diploma (Abitur) at Deutsche Schule Málaga
Bachelor of Science Business Informatics, Bachelor of Science Business Informatics at HSBA Hamburg School of Business Administration
Master of Science Information Systems, Master of Science Information Systems at Technische Universität Berlin
English, German, Spanish, Ukrainian, French, Russian