Alejandro Garcia
About Alejandro Garcia
Alejandro Garcia is an AI Model Developer Manager at UBS, with a strong background in machine learning and software engineering. He has held various technical leadership roles in companies such as Nexiot AG, Tundra.com, and Microsoft, and has an extensive academic background in computer science from institutions including Stanford University and ETH Zurich.
Current Role at UBS
Alejandro Garcia serves as the AI Model Developer Manager at UBS, a position he has held since 2020. In this role, he is responsible for overseeing the development of AI models and managing a team that focuses on standardizing software engineering practices and MLOps. His work involves architectural design solutions across various use cases, contributing to the advancement of AI technologies within the organization.
Previous Experience at Nexiot AG
Before joining UBS, Alejandro worked at Nexiot AG as a Tech Lead Big Data Analyst from 2018 to 2019. During his tenure in the Zürich Area, Switzerland, he contributed to big data analytics projects, leveraging his expertise to enhance data-driven decision-making processes within the company.
Professional Background in Machine Learning
Alejandro has extensive experience in machine learning, having held positions such as Tech Lead Machine Learning Engineer at Tundra.com from 2019 to 2020 and Tech Lead Search Engine at siroop from 2016 to 2018. His work encompasses various machine learning solutions, including Natural Language Processing, Information Retrieval, Neural Machine Translation, and Computer Vision.
Educational Qualifications
Alejandro holds a Master's degree in Computer Science from ETH Zurich, which he completed from 2009 to 2012. He also earned a Graduate Certificate in Mining Massive Datasets from Stanford University between 2015 and 2017. Additionally, he completed a Computer Vision Nano degree at Udacity in 2021. His educational background provides a strong foundation for his work in AI and machine learning.
Technical Skills and Interests
Alejandro possesses practical experience in leading teams and delivering AI solutions. He enjoys reading Computer Vision research papers and is actively involved in building applications for personal projects. His technical skills are complemented by his ability to manage complex projects and drive innovation in AI technologies.