I'm an AI Systems Engineer and ML Engineer studying for an M.Sc. in Artificial Intelligence at UC Berkeley & NTNU. I build production-grade AI systems, multi-agent pipelines, and scalable backend infrastructure.
Currently
- Finishing M.Sc. coursework at UC Berkeley — NLP, recommender systems, big data, neurotechnology
- Research on in-context learning robustness, carbon-aware recommendations, and healthcare accessibility modeling
- Building and iterating at Bay Area hackathons and AI events
- Stepping into Head of Technology at ReLU NTNU
Experience
AI/Software Engineering Intern
Spacial AI · Palo Alto, CA
IT Consultant Intern
Bouvet · Oslo, Norway
Learning Assistant
NTNU · Trondheim, Norway
Education
UC Berkeley
2025 – PresentExchange Year · GPA 3.65/4.0
NTNU
2022 – PresentM.Sc. Artificial Intelligence · 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.
CEO — Datakameratene FK
Led the club to a league championship. Finance, sports administration, and team operations.
2023 – 2025Projects
view all →Rabbit Hole
Deep research agent with a live knowledge graph, layered investigation, and exportable reports — built for the Deep Agents Hackathon (RSAC 2026) at AWS Builder Loft.
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.
Carbon-Aware Recommender System
Studying the Pareto frontier between user engagement and carbon footprint in recommendation systems.
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