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Andrius Kūkšta

Tech Lead @ Oxylabs

Andrius has been working at Oxylabs for over eight years. In that time, he has contributed to a wide range of projects and products. He spent a significant portion of that time building web scrapers and parsing tools, gaining hands-on experience with manual implementation.

Now, his primary focus is on applying Artificial Intelligence and Machine Learning across Oxylabs, with particular emphasis on AI-Studio and other new initiatives. 

Your Next Dataset Starts with a Prompt

Building datasets from websites remains a complex process. Developers must understand site structures, define extraction logic, validate outputs, and ensure data quality and completeness. While AI has simplified parts of the workflow, dataset creation still requires significant technical effort and iteration.

In this presentation, Andrius unveils a new Oxylabs solution live, showing how specialized AI agents turn a high-level idea into a structured dataset through a natural, language-driven workflow – without writing a single line of code.