My Journey
A progression from engineering fundamentals to building reliable, production-ready AI systems, shaped by curiosity, structure, and real-world constraints.
Lightweight Drift-Aware MLOps Framework
Bachelor Project / Independent System Design
2025 – 2026
Designed and implemented a CI-driven MLOps framework where data drift is treated as an explicit decision signal rather than passive monitoring. Candidate models are evaluated in isolation and promoted only through predefined, auditable criteria.
Key Achievements
Operationalized data drift as an explicit control signal
Implemented rule-based, auditable model promotion gates
Built CI-driven lifecycle with full experiment traceability
Bachelor’s Degree in Data Science
UiT – The Arctic University of Norway, Narvik
2022 – Present
Formal education focused on applied machine learning, software engineering, and system thinking, with increasing emphasis on robustness, traceability, and operational decision-making.
Key Achievements
Strong foundation in machine learning and data analysis
Focused on reproducibility and structured system design
Bridged academic theory with production constraints
WaiFare
Mobile-first Event & Travel Planning Platform
2024
Built a mobile-first application that connects concert and event discovery with multi-modal travel planning, allowing users to plan complete journeys around events instead of raw routes.
Key Achievements
Designed event-centric, end-to-end travel planning UX
Integrated multi-modal transport aggregation
Built extensible mobile-first architecture with APIs