About Me
I'm a Swedish-American software engineer who grew up internationally — born in Bangkok and raised across six countries on three continents before settling into tech. That global upbringing gave me a natural adaptability and a broad perspective that shapes how I approach both engineering and collaboration.
I hold an MSc in Computer Science from EPFL (Swiss Federal Institute of Technology) and a BSc from the University of Groningen, graduating cum laude. My focus is on building reliable, performant software — from systems-level work to data-intensive applications.
Outside of engineering, I'm drawn to entrepreneurship, exploring new places, and understanding how technology intersects with real-world impact. I'm currently at Bloomberg in London.
Where I've Been
9 cities, 6 countries, 3 continents — and counting.
Born
Bangkok, Thailand
Born in Bangkok to a Swedish-American family.
Early childhood
Stockholm, Sweden
First move back to Scandinavia.
Growing up abroad
Al Ain, UAE
Childhood years in the Emirates.
Primary school
Egham, United Kingdom
Living in the English countryside.
Middle & early high school
Dubai, UAE
Longest stretch in one place — formative years in Dubai.
IB Diploma, ISSR
Stockholm, Sweden
Completed the International Baccalaureate at the International School of the Stockholm Region.
BSc Computing Science
Groningen, Netherlands
Graduated cum laude (8.6/10) from the University of Groningen. Focused on algorithms, OS, concurrency, and data systems.
MSc Computer Science
Lausanne, Switzerland
Master's at EPFL (5.6/6 average). Systems, security, ML, and a minor in Management, Technology & Entrepreneurship.
Software Engineer
London, United Kingdom
Joining Bloomberg for a software engineering placement.
Focus Areas
Systems & Performance
OS internals, concurrency, distributed systems, low-level optimization
Machine Learning
LLMs, probabilistic models, forecasting, applied ML for real problems
Security & Cryptography
Applied cryptography, secure systems, protocol design
Data Engineering
Pipelines, databases, stream processing, data-intensive applications