Martin Ivanov

Graduating Computer Science and AI student in Belgium. I moved abroad to dive deeper into data engineering and AI, turning my curiosity into practical skills like building ETL pipelines and analysing real-world datasets. In multicultural university teams, I thrived by collaborating closely, brainstorming creative data solutions, and adapting quickly to deliver robust machine learning models and data workflows that solved tough problems.

ML Platform Engineer Intern at Chair of Materials Science and Nanotechnology | TU Dresden (2026-03 – 2026-06)

Modernises a platform by turning scattered sensor readings into a robust, end-to-end data and monitoring system. It defines a rigorous data model and ingestion flow with metadata, quality checks, and versioning, so measurements are reproducible and ready for advanced analysis

• Built end-to-end data and monitoring system
• Defined rigorous data model and ingestion flow
• Implemented metadata, quality checks, and versioning

Bachelor of Computer Science in Computer Science - Data & AI – Karel de Grote Hogeschool Antwerpen (2023 – 2026)