Victor Bergelin
10+ years building data infrastructure and AI systems. M.Sc. Applied Mathematics & AI from Linköping University with research at Dartmouth College. Specialises in production ML, agentic systems, and data platforms under regulatory scrutiny.
Daniel Eriksson
10+ years leading engineering teams and shipping scalable systems. Deep experience with microservices, Kubernetes, and API design. A track record of delivering high-stakes enterprise software into production — and making it stay there.
What we bring to the table
AI & Data
LLM agents, RAG systems, Pydantic AI, LangChain, LangSmith, Snowflake, dbt, Airflow, BigQuery, Spark, ETL pipelines
Backend & Infrastructure
Python, TypeScript, Node.js, Rust, Kubernetes, Docker, Terraform, PostgreSQL, Redis, microservices architecture
Cloud & DevOps
GCP, AWS, Azure, CI/CD, GitHub Actions, Argo CD, DataDog, Prometheus, Grafana
Frontend
React, Next.js, TypeScript, Tailwind, ShadCN
Domains
Private equity, fintech, media tech, telecom, e-commerce, retail analytics, financial compliance
Education
M.Sc. Applied Physics & Mathematics (Linköping), ML research (Dartmouth College)