- Developing and maintaining the Spring Boot microservices behind Lysa Life, Lysa's insurance and pension offering.
- Implementing backend functionality in a highly regulated financial environment, translating legal and regulatory requirements for insurance and pensions into robust software solutions.
- Developing and deploying internal machine learning models while taking increasing responsibility for machine learning projects and related technical decisions.
Marcus Fredriksson
Backend Developer at Lysa
M.Sc, Artificial Intelligence and Machine Learning
Karlskrona, Sweden
Description
Software engineer with a background in artificial intelligence and machine learning, combining broad technical expertise with a strong understanding of product development, business requirements and software engineering. I enjoy solving complex problems, particularly where technology, users and business needs intersect.
My experience spans software architecture, backend and frontend development, data engineering, machine learning, UI/UX and production systems. I work across the full product and software development lifecycle, from requirements and solution design to implementation, deployment and continued operation, with a focus on building reliable, maintainable and scalable solutions that create practical business value.
Experience
- Building custom software and hardware solutions and prototypes for clients, taking ideas from first conversation to working product.
- Responsible for technical direction, architecture and technology choices across client projects, as well as the company's own infrastructure and internal tools.
- Working directly with clients to turn loose ideas and business needs into concrete technical scope.
- Delivered an internal web application that streamlined day-to-day operations for the team.
- Built the frontend in React, delivering a clean and functional interface tailored to internal workflows.
- Implemented the backend in Java Spring Boot, exposing the REST API layer consumed by the frontend.
- Automated email triage using ML classification, eliminating manual sorting overhead for the operations team.
- Built a dividend price regression model with under 10% error margin, using only public data and incoming emails, providing a low-cost forecasting signal.
- Developed and maintained a Python backend serving a customer-facing web application.
- Implemented new features and performance improvements directly in the web app.
- Owned product direction, UX, and implementation of the company's mobile app, shipping the feature set that helped Brinja win multiple best-startup awards.
- In parallel, led the migration of the existing codebase from JavaScript to TypeScript, reducing technical debt and improving long-term maintainability.
- Ran customer interviews to understand real usage patterns and iterated on the app design accordingly.
- Participated in recruiting and onboarding new developers.
Education
Publications
Last updated September 19, 2026 at 17:06