Summary
Paulius Danėnas is a versatile scientific researcher and AI/ML engineer with 11 years of experience building data-driven decision support systems, production ML pipelines, and prototype tools in both academia and enterprise. He combines a PhD-level background in informatics with hands-on expertise in Python, R and Java, cloud-native GCP/Azure deployments, MLOps, knowledge graphs and NLP/LLM stacks. Certified across major platforms (Google, Microsoft, Linux Foundation, Oracle, Zend), he has authored 30+ publications and repeatedly moved research into production—designing analytics platforms for personalized therapeutics and enterprise forecasting solutions. At Intellerts and Kaunas University of Technology he delivers end-to-end solutions from data engineering to model serving, using tools from BigQuery and Vertex AI to Neo4j and Airflow. Notably, his career blends deep R&D (multi-agent systems, knowledge engineering) with pragmatic DevOps automation and mentoring that raises team production-readiness.
11 years of coding experience
12 years of employment as a software developer
Computer Science, Computer Science at Free University of Bozen-Bolzano
Doctor of Philosophy (PhD), Informatics, Doctor of Philosophy (PhD), Informatics at Vilniaus universitetas / Vilnius University