Andrés Montero

Andrés Montero

Andrés is a Software Engineer at Univerbal, a YC-backed ETH spin-off, where he contributes to the development of an AI-powered language learning application. With experience in software engineering, telecommunications, and artificial intelligence, he focuses on building efficient and scalable systems that enhance user experience and accessibility. His role involves optimizing front-end and back-end architectures, ensuring smooth interactions between users and AI-driven learning models.

He studied Computer Science at École Polytechnique Fédérale de Lausanne (EPFL) and holds a Master’s in Telecommunications Engineering from Universidad Politécnica de Madrid. His work has involved applying AI techniques in various domains, including accessibility solutions for the visually impaired. At biped.ai, he worked on depth estimation, semantic segmentation, and trajectory prediction to convert visual data into auditory cues, helping users navigate their surroundings more independently. Additionally, during his time at EPFL Racing Team, he developed SLAM algorithms that enabled an autonomous race car to construct maps of unknown tracks and localize itself efficiently.

Andrés is interested in the practical applications of AI, particularly in improving communication and accessibility. Through his work at Univerbal and his involvement in AI for Good, he aims to contribute to technology-driven solutions that have a meaningful impact on society. His approach to engineering is driven by curiosity, problem-solving, and a commitment to building impactful technology. He enjoys collaborating with others to tackle complex problems and is always eager to refine his skills through continuous learning.

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  • Organization
    Univerbal
  • Profession
    Software Engineer
  • Young AI Leaders Community

    Member
    February 2025 - 2029
    Lausanne Hub
    Europe
    Switzerland