About Me
I am a mathematician, AI researcher, and entrepreneur focused on bridging fundamental research with real-world application.
As the founder and CEO of Merlin, the team and I work to empower businesses to test, refine, and deploy their systems with greater accuracy and security with our AI solutions.
Technical Skills
My toolkit for solving problems and delivering impactful solutions.
Programming Languages
Machine Learning
Data Visualization
Big Data
Cloud and Platform
Tools & Methodologies
Experience
My professional journey and academic background.
Work Experience
Education
Atlas
A Large Financial Model
For the past two years, I have led the development of Atlas, a generational financial foundation model designed to transform how financial institutions detect fraud, assess risk, and safeguard financial systems. Built on a generalizable AI framework, Atlas unlocks broader applications in forecasting, anomaly detection, and systemic risk analysis.
Advanced Predictive Analytics
Uses temporal graph dynamics to contextualize vast amounts of transactional data.
Real-time Risk Assessment
Continuous monitoring and evaluation of financial risks across diverse portfolios
Transactions, The Language of Finance
Treats transactions as a semantic structure, encoding the flow of value much like language encodes meaning.
Merlin
Innovate with Synthetic Data
Merlin redefines how businesses harness data by generating high-fidelity synthetic datasets that retain the statistical integrity of real-world information while ensuring privacy, security, and fairness. Our approach enables seamless dataflows across complex systems, unlocking new possibilities in AI development, software testing, and financial modeling.
Privacy-Preserving Data
Generate synthetic data that maintains utility without compromising sensitive information
Bias Mitigation
Advanced algorithms to detect and reduce bias in training data
Scalable Data Generation
Cloud-based infrastructure capable of producing millions of synthetic records on demand
Featured Projects
A selection of my most impactful data science projects.
Customer Segmentation Model
Developed a clustering algorithm that identified 5 distinct customer segments, enabling targeted marketing campaigns that increased conversion rates by 18%.
Predictive Maintenance System
Built a time-series forecasting model that predicted equipment failures with 92% accuracy, reducing downtime by 35% and saving $1.2M annually.
NLP Sentiment Analysis
Created a sentiment analysis tool that processed customer reviews in real-time, providing insights that improved product development and customer service.
Get In Touch
Interested in working together? Feel free to reach out through any of these channels.
sigroll@gmail.com
linkedin.com/in/sigurd-solberg/
GitHub
github.com/sigurdsolberg
Resume
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