Summary
Agata Migalska is an AI/ML engineer and research-focused practitioner with 11 years of experience bridging academic research and production systems across industry and academia. Currently part of Ryanair Labs' Generative AI Pod and a Research Assistant Professor at Wrocław University of Science and Technology, she applies generative and data-driven methods to real-world problems such as supply chain and product quality optimization. Her background spans startup product engineering and large-enterprise data science (Nokia), plus co-founding a firm that automated architectural and design workflows, reflecting strong full-stack and research-to-production skills. She contributed to agent-based COVID-19 modeling used by municipal and national health bodies, underscoring a knack for impactful, interpretable modeling under real constraints. Fluent in Python, Go and cloud productization, she combines PhD-level rigor with hands-on system building and mentoring experience.
11 years of coding experience
13 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Wrocław University of Science and Technology
Computer Science, Computer Science at University of Lille 1 Sciences and Technology
Polish, English, French, Russian, German