I am an AI engineer specializing in developing agentic systems that evaluate products based on large language models (LLMs). At Maihem, I utilize my experience with grounded LLMs and Retrieval-Augmented Generation to improve various aspects of AI reliability, including hallucination detection, Red Teaming, and user simulation to ensure robust and secure interactions with AI systems.As a founding CTO of Naha, I helped create a marketplace for used fashion that provides streamlined software solutions for resellers and retailers. Naha was incubated through KTH Innovation (Batch 19), offering me hands-on experience in scaling a tech-driven startup from the ground up.During my time at CERN, I sharpened my skills in privacy-preserving machine learning. Working in quantum cryptography, I implemented algorithms for quantum-secure data transfer, such as BB84, for secure multiparty computation in medical applications.I’m proud to have contributed to DISL, the largest published dataset of smart contracts globally, supporting open-source projects and fostering innovation in secure contract synthesis.I studied Software Engineering of Distributed Systems at KTH Royal Institute of Technology, where I also worked as a Research Engineer specializing in fine-tuning LLMs and smart contract security.