Over five years of experience shipping software across mobile, web and data. Now applying that to AI — researching LLM-driven knowledge extraction from large-scale industrial datasets at AFRY, while completing an MSc in Data Science at the University of Skövde.
Experience
Thesis Researcher — AI & Knowledge Extraction
- Researching how LLMs and retrieval-augmented generation can extract structured knowledge from large-scale industrial datasets spanning text, documents and structured records.
- Benchmarking retrieval architectures, embedding strategies and generation quality to optimise extraction performance across pipeline configurations.
Software Developer (Consultant)
- Built and shipped client projects across the full stack, from frontend interfaces to backend services and data pipelines.
- Worked as a consultant across multiple parallel engagements, picking up whatever the project needed and delivering it.
Software Developer (Android)
- Developed Android applications for a range of client projects, working across the full development cycle from design implementation to release.
- Gained a strong foundation in mobile development, building production apps in Kotlin and Java across varied project requirements.
Education
Master of Science in Data Science.
Bachelor of Science in Computer Science.
Skills
Designing and evaluating LLM and RAG pipelines for information extraction, spanning the full ML lifecycle from data preparation through to deployment.
Full-stack development across web and mobile, from responsive frontends to native apps.
Designing data pipelines, querying spatial databases and deploying containerised services on cloud infrastructure.