Natalia Rodriguez.

With more than 15 years of experience, Natalia’s work has been central to BairesDev’s evolution from a mid-size firm to a multinational engineering partner. She has built award-winning, AI-driven recruiting operations and platforms that keep hiring quality high while reducing time-to-fill and improving how talent is allocated across accounts and regions.

Her work focuses on applying machine learning, predictive analytics, and structured evaluation pipelines to make talent decisions more accurate and scalable. She designs models and operating practices that turn a very high volume of applications into consistent decisions about who to hire and where to deploy them, supporting both day-to-day delivery and long-term growth.

She holds a degree in Computer Science and a doctoral degree in Geographic Information Systems, giving her the analytical and technical foundation to develop advanced talent acquisition technologies.