Summary
Peep Küngas is an Enterprise Data Architect and data scientist with 10+ years of experience designing data architectures, knowledge graphs, and AI-driven products for both public sector and fintech organizations. He blends rigorous academic research (Dr. Ing in Information and Intelligence Science) with hands-on delivery—building real-time Snowflake Data Vault warehouses, Collibra-integrated governance, and linked-data knowledge graphs for national curricula and compliance frameworks. As a founder he has taken data products from idea to >€1M ARR and led growth-hacking efforts that scaled organic web traffic into the millions monthly. His work spans regulatory compliance (BCBS 239, DORA, GDPR), semantic interoperability, and production ML for credit scoring and personalized learning, often uniting ontology engineering with pragmatic engineering stacks. Based in Tallinn, he pairs deep expertise in AI planning and semantic technologies with a knack for translating complex policy and business requirements into operational data platforms.
10 years of coding experience
19 years of employment as a software developer
MSc Computer and Systems Engineering, MSc Computer and Systems Engineering at TalTech – Tallinn University of Technology
Mathematics, Mathematics at School of Exact Sciences at University of Tartu
Norwegian University of Science and Technology
French, English, Estonian, German, Norwegian, Russian