Miguel Torres Acosta
About Miguel Torres Acosta
Miguel Torres Acosta is a Service Engineer with a Master's degree in Physical Sciences from Universidad Nacional Autónoma de México. He has extensive experience in software development and data science, specializing in full-stack applications and various programming languages.
Work at IBA
Miguel Torres Acosta has been employed at IBA as a Service Engineer since 2023. In this role, he applies his extensive background in software development and data science to provide technical support and solutions. His position involves analyzing complex systems and implementing effective strategies to enhance service delivery. With nearly a year of experience at IBA, he contributes to the organization's commitment to quality and innovation in engineering services.
Education and Expertise
Miguel Torres Acosta holds a Master's degree in Physical Sciences from Universidad Nacional Autónoma de México, where he studied from 2018 to 2020. He also completed a Full Stack Web Development program at Miami Dade College in 2023. His academic background includes a Bachelor of Science in Nuclear Physics from the University of Havana, obtained from 2013 to 2018. His education has equipped him with a strong foundation in theoretical processes and practical applications in programming and data science.
Background in Software Development
Miguel began coding in 2013, accumulating a decade of experience in software development. He has hands-on experience in developing full-stack applications using technologies such as React, Next.js, and Node.js. His proficiency extends to programming languages like Python, R, and SQL, which he has utilized in various projects. Prior to joining IBA, he worked as a Software Developer at Xmartview Digital Technologies for nine months in 2023.
Research Experience
Miguel Torres Acosta has a solid research background, having worked as a Research Student at Instituto de Física, UNAM from 2018 to 2021 and at Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear (CEADEN) from 2016 to 2018. His research roles involved simulation of theoretical processes and model adjustments to replicate empirical results. This experience has contributed to his analytical skills and problem-solving abilities in both academic and practical settings.
Skills and Problem-Solving Abilities
Miguel is recognized for his ability to learn quickly and solve complex problems. He takes a comprehensive approach to programming, focusing on understanding the broader context before devising solutions. His diverse skill set, combined with his educational background and work experience, enables him to tackle challenges effectively in the field of engineering and software development.