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After completing my PhD last year at the Royal Institute of Technology (KTH) in Sweden, I’ve transitioned from academic research to building AI products. My doctoral work explored how social robots could respond more naturally to the person in front of them — studying signals of effort and frustration during consented laboratory studies in human–robot interaction, using thermal imaging and social-context fusion. It was academic research, conducted under research-ethics approval, aimed at making robots better teammates in short interactive tasks.

Today, I channel that curiosity into entrepreneurship. I’m the founder of three AI-focused companies. One of them, Pokamind, is a skills-training platform where learners opt in to role-play sessions and receive private, explainable feedback on their own communication style — no continuous monitoring, no biometric profiling, GDPR- and EU AI-Act-aware by design. My journey started with a master’s degree in Robotics from the University of Bristol, where I first fell in love with social robotics — building a system (run on consented recordings) that inferred group engagement from ambient social signals. That early work laid the foundation for everything that followed.

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