Research · Engineering · Artificial Intelligence

Adam Pardyl

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

Portrait of Adam Pardyl
Adam Pardyl

01 / Selected work

Projects & publications

Methods and systems for learning, perception, and intelligent exploration.

All work

02 / Experience

Research and engineering experience

From academic research to applied machine learning, YouTube, and Android.

Full experience

October 2026–present

Jagiellonian Center for Artificial Intelligence

Research staff member

Research in artificial intelligence at Jagiellonian University.

July 2021–December 2022

AGH University of Krakow

Machine Learning Engineer

Developed machine learning methods for CT-based lung cancer diagnosis in the X-rAI project.

July–September 2020 · Zürich, remote

Google · YouTube

Software Engineering Intern

Improved YouTube Content ID matching through large-scale analysis of repetitive video fragments, reducing false-positive early matches by 82%.

July–September 2019 · Zürich

Google · Android Frameworks

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

Learning to look and search

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