MSc, GIS & Remote Sensing
Lund University · Sweden
About Kylian
I am patient with the unknown,
but not with vagueness.
I like to watch how a system behaves before finding the opening that can make it clearer and more reliable. GIS taught me to respect real-world complexity; building agents and AI applications made me care more about failure, evidence, and the final human judgment.
Outside work, I take photographs, follow F1, and sometimes build an idea simply because I want to see it exist.
What I care about now
AI has plenty of “can do.” It needs more “why” and “how do we know it worked.”
That is why I spend time on AI applications, agent evaluation, and workflow products: putting models into concrete tasks, making failure diagnosable, and verifying change through real behavior or outcomes.
Background
Spatial data was my starting point for understanding complex systems.
BSc, Geographic Information Science
Northwest A&F University
Open to work · Open to conversation
I’m open to new roles—and always happy to have a real conversation.
Work, collaboration, an unfinished idea, or simply saying hello—you are welcome to reach out.