Daniel Palomino
About Daniel Palomino
Daniel Palomino is a Senior Machine Learning Engineer with extensive experience in AI and machine learning, having worked for various organizations including Galileo Financial Technologies and Moody's Analytics. He specializes in developing AI tools using TensorFlow and PyTorch and has a strong background in research and industry applications.
Work at Galileo
Daniel Palomino currently serves as a Senior Machine Learning Engineer at Galileo Financial Technologies, a position he has held since 2023. In this role, he focuses on developing advanced AI tools that cater to both research and industry applications. His expertise in machine learning is applied to create efficient solutions that meet the needs of the financial technology sector.
Previous Experience in AI and Machine Learning
Before joining Galileo, Daniel worked at Anyone AI as the Lead AI/ML Instructor for six months in 2022. He also held the position of Senior Machine Learning Engineer at Moody's Analytics through Parser from 2021 to 2022. His experience includes a role as Senior NLP Engineer at Giotto.ai in 2021 and as a Postgraduate Researcher at Universidad Católica San Pablo from 2018 to 2020.
Education and Expertise
Daniel holds a Master of Science in Computer Science from Universidad Católica San Pablo, which he completed from 2018 to 2020. He also earned a Bachelor of Science in Electrical and Electronics Engineering from the National University of Engineering between 2008 and 2012. Additionally, he studied IT Management at the Centre for Development of Advanced Computing, achieving a diploma in 2015. His educational background supports his expertise in machine learning, AI tools, and programming languages.
Background in Security and Development
Daniel has a diverse background that includes working as a Security Specialist at Telefonica from 2016 to 2017. He also served as Tech Lead at OSSE - Oficina de Soluciones y Servicios Empresariales for four years, from 2017 to 2021. His early career involved being a Project Lead Developer at Startups in Lima, Peru, from 2015 to 2016, where he contributed to various projects.
Professional Engagement and Contributions
Daniel actively participates in workshops at top-tier conferences, where he presents his work and showcases his expertise in AI tools. He engages in international competitions related to machine learning and natural language processing, reflecting his commitment to continuous improvement and staying updated with the latest technology trends.