Simulation Team Leader — UiS Drillbotics
Led the development of simulation models for autonomous drilling systems, focusing on system optimization and automation.
Data Scientist & AI Master’s Student — Machine Learning, Simulation, Intelligent Systems
I design systems that learn, adapt, and respond intelligently to dynamic environments — combining the precision of data science with creative simulation and AI research.
I’m Robel Weldemichael Ghebremedhin, a passionate technologist with a Bachelor’s degree in Data Science from the University of Stavanger (UiS), currently pursuing my Master’s in Artificial Intelligence at OsloMet – Oslo Metropolitan University.
My interests lie in applying AI, machine learning, and simulation techniques to solve complex real-world problems — from data-driven optimization to intelligent automation and adaptive systems.
I’m particularly motivated by the challenge of designing systems that learn, adapt, and respond intelligently to dynamic environments. My long-term goal is to contribute to the development of scalable, ethical, and sustainable AI solutions that make a meaningful impact.
Led the development of simulation models for autonomous drilling systems, focusing on system optimization and automation.
Contributed to refining and evaluating large language model datasets to improve performance and consistency.
Developed LabVIEW and web-based interfaces for aerospace applications and data visualization.
Mentored students in math and science, helping them develop analytical and problem-solving skills.
Provided academic support and graded assignments for physics courses in electro and data studies.
To advance the field of Artificial Intelligence by developing systems that learn, adapt, and enhance decision-making across industries — combining the precision of data science with the creativity of simulation and AI research.
Interested in collaboration, research, or opportunities? Send a message and I’ll get back to you.