Session: From Linguistics to Autonomous Robotics: How a Non-Linear Career Became My Superpower
Careers in tech are often expected to follow a linear path: study the “right” subject, build deep expertise early, and never deviate. But real innovation rarely follows a straight line.
In this talk, I share my journey from linguistics to autonomous robotics, and how a path that once looked unfocused became my greatest advantage. Moving across disciplines, countries, and roles taught me how to think in systems, connect seemingly unrelated problems, and navigate uncertainty, skills that are essential in today’s fast-moving tech landscape.
I will argue that non-linear careers are not a liability but a superpower, especially for women in tech, and show why diverse thinking, adaptability, and curiosity increasingly outperform narrow specialization in the age of AI and autonomy.
Bio
I am a deep tech founder and innovation consultant working at the intersection of AI, autonomous systems, and industrial robotics. My background spans linguistics, research, engineering, and leadership across multiple countries and industries. Today, I build AI systems for autonomous machines and mentor women pursuing careers in technology, with a strong interest in non-linear career paths and future-ready skills.