I work at the intersection of energy infrastructure and AI.
MSc Sustainable Energy Engineering at KTH · Project Engineer at Ellevio
The power grid is the largest machine humans have ever built, and it is being rebuilt right now — electrification, intermittent renewables, and datacenter load are stressing infrastructure that was designed for a slower world. That is the problem I have organised my education and my work around.
I'm studying Sustainable Energy Engineering at KTH in Stockholm, graduating in June 2027. Alongside my studies I work as a Project Engineer at Ellevio, one of Sweden's largest electricity distribution companies, where I build forecasting models and BI tools that help the business see what the grid is doing and what it will do next. Working inside a DSO taught me something no course could: the bottleneck in the energy transition is rarely the hardware — it's how well you can predict, plan, and decide with the data you already have.
That conviction pulled me toward the AI side of the problem. At the KTH AI Society I run business development, building partnerships with Google, Microsoft, AWS, and Nordic AI startups — connecting the people training models with the people who have real problems to point them at.
The projects below are where these two worlds meet: real energy data, live systems, and software that explains what's happening rather than just displaying it.
A live dashboard for the Swedish power grid: grid frequency, production mix, spot prices, and power flows across bidding zones SE1–SE4 — pulled from Nordic TSO open data and topped with a plain-language summary of what is happening on the grid right now.
Backtest a battery energy storage system's day-ahead arbitrage revenue against real Nord Pool spot prices for Swedish bidding zones SE3 and SE4, 2023–2025. Configure power, capacity, round-trip efficiency, and state-of-charge limits, then a linear program solves the perfect-foresight dispatch schedule and shows revenue, cycling, and hour-by-hour charge/discharge detail.
2025 — Present
Stockholm
Ellevio distributes electricity to close to a million customers in Sweden. I work on the data side of grid operations, turning operational data into decisions.
2024 — Present
Stockholm
The KTH AI Society is one of the largest student AI communities in the Nordics. I run partnerships — the commercial engine that funds the society's projects and events.
2025 — 2027 (expected June 2027)
Stockholm
Graduate studies focused on energy systems, power markets, and the modelling and optimisation techniques that keep a renewables-heavy grid stable.
Working on something at the intersection of energy and AI? I'd like to hear about it.