Łukasz Kopociński is an AI/ML Engineer with 11 years of software engineering experience and a focused specialty in NLP and MLOps. He has built ML foundations at companies from research labs to enterprise production, designing CI/CD, data versioning, experiment tracking, and deployment pipelines on Azure and Kubernetes. At EWL he stood up the entire data science lifecycle—ETL, model training, FastAPI microservices, and multi-environment releases—demonstrating both hands-on coding and platform-level automation. His research background includes published work on semantic relations and Polish-language semantic networks, bridging academic NLP methods with commercial products. Comfortable across cloud, containerization, and orchestration, he pairs practical engineering habits (unit tests, static analysis) with rapid prototyping of transformer-based solutions. Based in Poland, he brings a rare combination of production-grade MLOps experience and deep NLP domain knowledge.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Ingeniería Informática, Bachelor's degree Ingeniería Informática at Universidad de Málaga
Master's degree Data Science, Master's degree Data Science at Wrocław University of Science and Technology
Bachelor's degree Information Technology, Bachelor's degree Information Technology at West Pomeranian University of Technology in Szczecin
Research on the extraction of semantic relations (brand-product). Code for paper: "Brand-Product Relation Extraction Using Heterogeneous Vector Space Representations"
Contributions:1373 commits, 2 PRs, 7 pushes in 1 year 10 months
Contributions:2 PRs, 2 pushes, 3 branches in 10 months
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