Summary
Pawel Darulewski is a Senior Machine Learning Engineer with nine years of hands-on experience building production-grade MLOps and backend systems using Go and Python. He architects infrastructure-as-code, event-driven pipelines, and CI/CD workflows that power high-throughput ML workloads and handle millions of daily operations. Comfortable bridging data science and engineering, he has deployed hundreds of models on Kubernetes, optimized LLM encoding/indexing, and combined dense retrieval with Solr/Elasticsearch for fast search and recommendation APIs. Pawel pairs deep technical rigor—C++, PyTorch, and performance tuning—with a pragmatic focus on observability, controlled rollouts, and measurable business impact. Based in Copenhagen, he brings a human-centered AI master's background to designing maintainable systems that scale in real-world production.
9 years of coding experience
7 years of employment as a software developer
Engineer's degree, Computer Science, Engineer's degree, Computer Science at Lodz University of Technology
Mobility Semester, App Development, Mobility Semester, App Development at Windesheim
Technical University of Denmark
Danish, Polish, Spanish, English