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Daniel Romero

Machine Learning Engineer at Henku

Daniel Romero began his career as a sysadmin, specializing in configuring and maintaining bare-metal Linux servers before transitioning towards virtualization and containerization technologies.

Throughout his professional journey, he has diversified his skill set by becoming proficient in PHP, Java, and Ruby for software engineering, with a focus on web application security through pentesting.

Embracing the DevOps culture, Daniel has expanded his expertise to include tools such as Terraform, Ansible, Docker, and Kubernetes, and is adept at working with major cloud platforms like AWS, Google Cloud, and Azure.

Currently, Daniel Romero is delving into the realms of Data Science and Machine Learning, showcasing his continuous drive for learning and growth in the tech industry.

His educational background includes studies at CET, Imperial College London, Google pour les pros, University of Michigan, University of Washington, Zero To Mastery Academy, and Alura.

Daniel's professional experience spans across various organizations, holding roles such as Machine Learning Engineer at Henku, Senior Site Reliability Engineer at Elastic, DevOps Engineer at Loom Network, and Site Reliability Engineer at AppProva among others.

Daniel Romero
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Location

Fortaleza, Ceará, Brazil