Rasmus Ros in

Rasmus Ros

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Technical Lead at Theca Systems
📍 Lund, Skåne County, Sweden

Rasmus is a Technical Lead at Theca Systems, specializing in the practical application of Retrieval-Augmented Generation (RAG) and agentic AI. He holds a PhD in Computer Science from Lund University, where his research focused on data-driven software optimization and continuous experimentation. His expertise lies in building scalable, fast, and testable AI systems.

Outside of his deep focus on technology, Rasmus enjoys disconnecting with outdoor activities. He is a family man who has recently been snowboarding with his kids, pointing to an appreciation for winter sports and spending time with family.

He is the founder of Eignex, a project dedicated to building a continuous optimization engine for live production systems, directly stemming from his PhD research.

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Experience
14 Years
Current Role
Technical Lead
Job Level
Mid-senior
Location
Lund, Skåne County, Sweden
Personality Overview

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Communication Style
Decision Approach
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Priorities

Topics Rasmus cares about

Continuous Optimization
His PhD and personal project, Eignex, focus on building systems that continuously learn and adapt in live production environments using techniques like A/B testing and bandit optimization.
Agentic AI Systems
He actively writes about and works on structuring agentic AI, moving beyond static pipelines to create more powerful and flexible systems that can handle real-world edge cases.
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Career

Work history

8-2022
Technical Lead
Theca Systems
3-2022 - 8-2022
Machine Learning Engineer
AFRY
4-2016 - 2-2022
WASP PhD Student
Lund University
8-2014 - 3-2016
Data Scientist
Voyado
9-2011 - 7-2014
Full Stack ML Engineer
Voyado
In the press

Media appearances

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Education
2006 - 2011
Master’s Degree
The Faculty of Engineering at Lund University
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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