2023 - Present
Senaible - Founder & CEO
Founded a Cognitive Research Lab and Startup Studio focused on augmenting human cognition and improving communication between organizations and individuals. Operating as both a product factory that develops practical AI solutions and a research lab exploring the mathematical foundations of consciousness and intelligence.
Developing two flagship products: "Omegn" (Live) - an AI-powered solution helping institutions communicate effectively with their audiences, and "CoWorker" (Building) - a pioneering project creating cognitive layers for organizations by synthesizing internal communication and data.
2021 - 2023
Hjemla - Data Scientist
Developed and maintained production-grade machine learning models for Norway's leading automated property valuation system. Built optimized data pipelines in Python for processing large-scale real estate datasets. Implemented AWS-based cloud architecture for ML model deployment and data processing. Created performance-tuned algorithms to predict market values using statistical and machine learning approaches.
2020 - 2021
TietoEVRY, Financial Services - Data Scientist
Developed prototype ML models using TensorFlow, Keras, and Python for financial transaction analysis. Created proof-of-concept solutions for personalized finance and customer behavior insights. Designed risk assessment models for loan applications and implemented cloud-based solutions on Microsoft Azure for financial applications.
2019 - 2020
University of Bergen - Topics in Statistics and Machine Learning
Selected coursework in statistics and machine learning to build practical data science skills. Self-directed study bridging pure mathematics background with applied computational methods. Developed foundation for career shift into AI and data science.
2019
University of Trento - 11th School on Analysis and Geometry in Metric Spaces
Participated in advanced research workshop on geometric measure theory in Carnot-Caratheodory groups. Engaged with cutting-edge concepts in metric spaces with applications to degenerate elliptic equations, optimal control theory, and differential geometry. Collaborated with international researchers on current developments in the field.
2018 - 2019
University of Bergen - Teaching Assistant
Served as teaching assistant for MAT235 - Vector and Tensor Analysis while simultaneously enrolled as a student in this challenging postgraduate course. Prepared teaching materials, held lectures, and evaluated student assignments and midterm exams. Guided fellow students through complex mathematical concepts and problem-solving techniques.
2018
The Fields Institute - Connections Between Complex, Harmonic, and Stochastic Analysis
Selected to participate in international workshop connecting researchers from Norway and Canada. Explored interdisciplinary connections between Stochastic Analysis, Harmonic Analysis, Geometric Function Theory, Mathematical Physics, and Geometry. Developed deeper understanding of cross-disciplinary mathematical applications.
2017 - 2019
University of Bergen - Master's in Pure Mathematics
Completed Master's degree in Pure Mathematics with focus on Mathematical Analysis and Differential Geometry. Developed strong foundation in advanced mathematical concepts including functional analysis, differential geometry, and measure theory.
Final thesis received grade A.
2017
UC Berkeley - Topics in Pure Mathematics
Exchange program studying Number Theory, Differential Geometry, and Fourier Analysis (Signal Processing). Gained international academic perspective at a world-leading institution.
2014 - 2017
University of Bergen - Bachelor's in Mathematics
Completed Bachelor's degree in Mathematics with comprehensive foundation in mathematical principles and theories. Developed skills in scientific writing and mathematical analysis. Coursework included complex analysis, real analysis, algebra, and linear algebra.
Final thesis received grade A.
