About

Miles Rufat-Latre is a highly skilled Machine Learning Engineer at Amazon, with over 6 years of industry experience in software engineering and architecture. He specializes in automation and infrastructure for machine learning processes and is currently serving as a Senior Software Engineer at meta. In his previous role at Amazon, Miles was responsible for leading all technical efforts in a mixed team of engineers and scientists for Alexa Communications. He designed and built a system to automate data retrieval and processing, ensuring science processes can be understood, reproduced, and quickly released. Miles also conducted formal reviews of operational readiness and security for other teams and regularly provided engineering mentoring and guidance within his team. Miles also worked as a Part-time Machine Learning Infrastructure Engineer at optfit llc while working for Charter Communications. He participated in internal and client discussions about infrastructure and API design, collaborated to develop network and DevOps architecture guidelines and diagrams, and helped to debug issues in machine learning systems. Miles has a Master of Science degree in Computer Science - Machine Learning from the Georgia Institute of Technology, which he completed in 2019. He also holds a Bachelor of Science degree in Computer Science from the University of Colorado Boulder, which he completed in 2016. Miles is highly skilled in various technologies such as ML, Software Engineering, Infra, Senior Software Engineering, and DevOps. With 5.28 years of relevant experience, he has a proven track record of delivering high-quality results in his roles.