Jagiellonian Center for Artificial Intelligence
Research staff member
Research in artificial intelligence at Jagiellonian University.
Research · Engineering · Artificial Intelligence
AI research
& engineering
I work across artificial intelligence, machine learning and software engineering, with interests in large language models, vision-language models, embodied agents and computer vision. I enjoy turning research questions into methods, benchmarks and working systems.
Jagiellonian Center for Artificial Intelligence · Jagiellonian University

01 / Selected work
Methods and systems for learning, perception, and intelligent exploration.
02 / Experience
From academic research to applied machine learning, YouTube, and Android.
Research staff member
Research in artificial intelligence at Jagiellonian University.
Machine Learning Engineer
Developed machine learning methods for CT-based lung cancer diagnosis in the X-rAI project.
Software Engineering Intern
Improved YouTube Content ID matching through large-scale analysis of repetitive video fragments, reducing false-positive early matches by 82%.
Software Engineering Intern
Built high-performance on-device logging using compile-time Java code generation, and improved tools for debugging Android window transitions, including the Winscope ADB proxy.
03 / Research perspective
My doctoral research asks how an intelligent agent can choose useful visual observations and actions when sensing and computation are limited. The work connects attention, flexible visual representations, active glimpses, and exploration in realistic environments.
Explore the thesis