Denisa Alexandru is a software engineer and computational biotechnologist based in Madrid, blending a strong academic background in biotechnology with an M.Sc. in Artificial Intelligence from the Technical University of Madrid. With two years of experience, she builds full-stack and distributed ML systems—most recently contributing to Fast DDS-based platforms for distributed classification and a JavaScript/Python dashboard for experiment management at eProsima. Her work spans applying LLMs for metadata extraction and energy-efficient model recommendations to reduce AI’s carbon footprint, and research into human factors in air-traffic control through AI-driven fatigue analysis. Comfortable moving between lab bench and production code, she brings multidisciplinary problem-solving, statistical rigor, and a track record of turning research prototypes into usable tools.
2 years of coding experience
Master of Science - MS, Artificial Intelligence, 9.22, Master of Science - MS, Artificial Intelligence, 9.22 at Universidad Politécnica de Madrid
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