I'm an AI and software engineer pursuing an M.Sc. Informatics, AI at NTNU after an exchange at UC Berkeley (Aug 2025 – May 2026). I build production-grade AI products, software systems, and scalable backend infrastructure.
Currently
- Member of Technical Staff at a stealth company, building an end-to-end AI software platform and the production systems that support it.
- Pursuing an M.Sc. Informatics, AI at NTNU after completing an exchange year at UC Berkeley.
- Head of Technology at ReLU NTNU
- Build, iterate, repeat.
Experience
Member of Technical Staff
Stealth · Norway
Technology Consulting Intern
EY · Oslo, Norway
AI/Software Engineering Intern
Spacial AI · Palo Alto, CA
IT Consultant Intern
Bouvet · Oslo, Norway
Learning Assistant
NTNU · Trondheim, Norway
Education
UC Berkeley
Aug 2025 – May 2026Exchange Year · GPA 3.81/4.0
NTNU
2022 – PresentM.Sc. Informatics, AI · B.Sc. Informatics (GPA 4.2/5.0)
Awards
Best Use of Railtracks — Multimodal Frontier Hackathon, San Francisco (project repo)
1st Place — DigitalOcean Hackathon, San Francisco
2nd Place — Future of Labor Hackathon, San Francisco
Leadership
Head of Technology — ReLU NTNU
Norway's leading AI student organization. Driving tech choices for projects and keeping the organization at the forefront of AI/ML.
Co-presented Evaluation-Driven Development (EDD) with former ReLU leader Henrik Raaen Bø at Telenor AI & Breakfast (400+ audience, including key management). Talked about how ReLU evaluates AI systems against clear, measurable criteria throughout development instead of relying on intuition or demos. LinkedIn →
Club Leader — Datakameratene FK
Led the club to a league championship. Finance, sports administration, and team operations.
2023 – 2025Projects
view all →Rabbit Hole
Solo — deep research agent with a live knowledge graph, layered investigation, and exportable reports. HackwithBay 2.0 (Deep Agents / RSAC 2026), top 20 teams at the AWS Builders Loft finale.
PR Copilot AI
Got tired of PR review tools that need account sign-ups and complex setup. Drop-in GitHub Action with LLM-powered inline review comments — severity, category, confidence, and suggested fixes. Published on the GitHub Marketplace.
Skills
AI/ML: LLMs, RAG, agentic systems, NLP, recommender systems, RL (MuZero, MCTS)
Backend & Systems: Python, distributed systems, APIs, caching, observability
Cloud: AWS (Lambda, API Gateway, S3, Bedrock), Docker, GCP
Languages: Python, TypeScript, Java, SQL