Summary
Lorand Kedves is a systems architect and software engineer with three decades of experience translating complex domain requirements into pragmatic, auditable data platforms and configurable business logic. He blends deep hands-on engineering—from legacy Java toolchains to modern low-code approaches—with academic research in knowledge graphs and large-scale XBRL/financial data management, recently building knowledge bases from millions of XBRL instances for university research. Lorand excels at metadata-driven architectures, ETL and data governance, and has led cross-disciplinary teams in government, telecom, automotive and sustainability reporting projects. Notably, he returned to academia mid-career to pursue an MSc and PhD, then applied that research at the national AI lab to bridge research prototypes and production-capable systems. Practical, results-oriented and comfortable on "consumer hardware," he favors simple, robust toolchains that scale through clever metadata and late-binding design rather than heavy bespoke stacks.
9 years of coding experience
25 years of employment as a software developer
Bachelor of Science - BS Mathematics and Computer Science, Bachelor of Science - BS Mathematics and Computer Science at University of Szeged
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Pannon Egyetem - University of Pannonia
Hungarian, English