I'm the CEO and founder of AIEngineers, and I recently completed my master's degree in Machine Learning at the University of Bergen.
I build production-ready AI systems for Norwegian businesses — including prediction models, RAG, semantic search, multi-agent workflows, local LLM infrastructure and intelligent automation.
My work sits at the intersection of machine learning, AI infrastructure, finance, energy and operational decision systems.
I have worked on applied machine learning in the Norwegian energy market, including consumption forecasting for SFE and imbalance prediction as part of my master's thesis.
I'm focused on AI that goes beyond demos: systems that connect to real data, fit into existing workflows, support better decisions and make it all the way to production.
- Production-ready AI and ML systems
- Prediction models for business and energy use cases
- RAG and semantic vector search
- Multi-agent AI workflows
- Local LLM infrastructure
- AI automation and system integrations
- Decision-support systems for data-heavy workflows
- AI architecture from prototype to production
At AIEngineers, we help companies identify, design and build AI systems that create measurable operational value.
This typically includes:
- Mapping data flows and business processes
- Finding high-value AI use cases
- Designing the right AI/ML architecture
- Building working models and agent workflows
- Integrating AI into existing systems
- Preparing solutions for real production use
Learn more: aiengineers.no
- Machine learning and prediction systems
- Time series forecasting
- RAG and semantic vector search
- Multi-agent AI workflows
- LLM integrations
- Local LLM infrastructure
- Decision-support systems
- AI automation and backend integrations
- Energy market data
- Financial market data
- Consumption forecasting
- Imbalance prediction
- Signal detection
- Operational optimization
- Data pipelines and feature engineering
- AI architecture from prototype to production
- API-based AI systems
- Workflow automation
- Data-source integration
- Model evaluation and monitoring
- Human-in-the-loop system design
- Secure and domain-specific AI deployment
- Master's degree in Machine Learning, University of Bergen
- Bachelor's degree in Artificial Intelligence, University of Bergen
Applied machine learning for forecasting and decision-support in the Norwegian energy market.
Areas include:
- Consumption forecasting
- Physical imbalance prediction
- Time series modeling
- Operational ML for energy data
At AIEngineers, we build production-ready AI systems for companies that want to move from AI ideas to working operational systems.
Typical projects include:
- AI opportunity mapping
- Data-flow and system analysis
- RAG and semantic search
- AI agents and workflow automation
- Prediction models
- Local LLM infrastructure
- AI integrations with existing business systems