Manuel ángel Suárez álvarez
About Manuel ángel Suárez álvarez
Manuel Ángel Suárez Álvarez is an AI/ML Software Engineer with a Master's degree in Data Science from Universidad Complutense de Madrid. He has worked at various companies, including Zapiens.ai and StackAI, and has experience in developing mathematical algorithms and deploying Large Language Models.
Work at Stack AI
Currently, Manuel Ángel Suárez Álvarez serves as an AI/ML Software Engineer at StackAI. He has been in this role since 2024, working remotely from San Francisco, California. His responsibilities include developing and deploying advanced machine learning models, specifically focusing on large language models in cloud environments. This position allows him to leverage his expertise in artificial intelligence and machine learning to contribute to innovative projects.
Previous Experience in Machine Learning
Before joining StackAI, Manuel worked at Zapiens.ai as a Machine Learning Engineer from 2021 to 2023. In this role, he focused on implementing machine learning solutions. He also held positions as a Data Scientist at BBVA AI Factory and DataBeacon, where he contributed to various projects involving data analysis and algorithm development. His experience spans across different companies and roles, enhancing his skills in the data field.
Education and Expertise
Manuel holds a Master of Science in Data Science from Universidad Complutense de Madrid, which he completed from 2021 to 2022. He also earned a Bachelor's degree in Aerospace Engineering from Universidad Politécnica de Madrid, studying from 2017 to 2021. His educational background equips him with a strong foundation in statistical analysis and computational methods, essential for his work in AI and machine learning.
Background in Data Science
Manuel began his career in data science at Kerox Technology, where he worked for five months in 2021. His subsequent roles included positions at BBVA AI Factory and DataBeacon, where he gained significant experience in developing mathematical algorithms and deploying machine learning models. His exposure to the entire product lifecycle in small startups has further enriched his understanding of the data science landscape.
Technical Skills and Projects
Manuel has developed expertise in creating and deploying large language models within cloud environments. His technical skills include statistical analysis, machine learning algorithms, and software engineering practices. He has been involved in various projects that focus on enhancing data processing and analysis capabilities, contributing to the advancement of AI technologies in his roles.