Bennet Huber
About Bennet Huber
Bennet Huber is the Chief Software Architect at Compose AI, with extensive experience in software development and backend cloud architecture, particularly in natural language processing applications. He has previously held positions at Amazon and Cisco Systems, and he holds a BS in Computer Science and Mathematics from Penn State University.
Current Role at Compose.ai
Bennet Huber serves as the Chief Software Architect at Compose AI, a position he has held since 2021. In this role, he focuses on developing and implementing advanced software solutions, leveraging his extensive experience in backend cloud architecture. His work involves enhancing the efficiency and performance of applications, particularly in the realm of natural language processing.
Previous Experience at Amazon
Bennet Huber has a significant history with Amazon, where he worked in various capacities from 2014 to 2021. His roles included Software Development Engineer and Senior Software Development Engineer, where he contributed to projects focused on scalable systems and high-performance computing. His tenure at Amazon spanned over six years, during which he gained specialized knowledge in Datapath, a proprietary relational programming language.
Educational Background
Bennet Huber studied at Penn State University, where he earned a Bachelor of Science degree in Computer Science and Mathematics from 2006 to 2010. His education provided a strong foundation in programming and algorithm development, which he has applied throughout his career in software engineering and architecture.
Internship Experience
Bennet Huber gained early experience in the tech industry through internships at Cisco Systems and Temple Allen Industries. He interned at Cisco Systems in 2007 and again in 2008, where he developed skills in software development. His internship at Temple Allen Industries in 2006 further contributed to his understanding of software engineering practices.
Expertise in Software Development
Bennet Huber possesses expertise in backend cloud architecture, particularly for natural language processing applications. He has a deep understanding of microservice architectures and programming languages, as well as a specialization in algorithm development and optimization. His interests include solving challenges related to highly scalable systems and high-performance computing.