Rasmus Ros

Wildcard
DISC Type : isc

Technical Lead at Theca Systems

Lund, Skåne County, Sweden

Overview

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.

Personality Overview

Curious But Skeptical

ROI Driven

Requires Proof

They typically tend to be late adopters even when they seem friendly and excited about what you have to sell  They are unlikely to ever become strong champions even when the conversations are going well; you should focus on cultivating other champions They are often friendly and nice, but can sometimes suprise you with their piercing questions

Topics They Care 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.
Scalable AI Pipelines
Focuses on the hands-on engineering challenges of making RAG and retrieval pipelines scalable, fast, and robust for real-world use.

Media Appearances

Rasmus has no verified media appearances

Work History

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

Education

2006 - 2011
Master’s Degree from The Faculty of Engineering at Lund University

More Information

Social Presence :

Prographics :

Exp : 14 Location : Lund, Skåne County, Sweden Job Level : Mid-senior Designation : Technical Lead at Theca Systems
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Insights For Selling To Rasmus

During A Call Or A Meeting

DO's

  • Invite them for a social do but don’t rely solely on the relationship
  • Be prepared for a lot of questions, answer them objectively
  • Persuade objectively how your product will help them achieve their goals

DONT's

  • Avoid winging it with them particularly, answer a question only if you know the answer well
  • Avoid phrases like ‘trust me’, ‘you will just love it’ etc.
  • Don’t overhype the product/pitch, keep it measured

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Rasmus is

  • Clear proof of product value matters to them, followed by others' testimonials and rapport.
  • Will you ever get a clear answer from Rasmus

  • They are likely to give you a clear answer without taking you around in circles. However, if you share a good relationship, they might not be so forthcoming.

Insights For Deal Planning

    How fast (or slow) will Rasmus move?

  • They like to perform full analysis and can take time to make any decision.
  • Can Rasmus take some risk or not?

  • They weigh all decisions systematically and are unlikely to take many risks.

You And Rasmus

Personality Compatibility


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