Alex Shoup
About Alex Shoup
Alex Shoup is a Member of Technical Staff at Infinitus Systems, Inc., specializing in backend infrastructure and machine learning integration for healthcare solutions. He has a background in computer science from Carnegie Mellon University and has held various roles in notable companies including eBay, Microsoft, and HealthTap.
Current Role at Infinitus Systems
Alex Shoup currently holds the position of Member Of Technical Staff at Infinitus Systems, Inc., a role he has occupied since 2021. His work is based in the San Francisco Bay Area. In this position, he specializes in designing backend infrastructure, utilizing technologies such as APIs, database models, microservices, and Kubernetes. His focus is on developing healthcare solutions that improve content discovery and enhance user experience.
Previous Experience in Software Development
Prior to his current role, Alex Shoup gained diverse experience in software development across several companies. He worked as a Senior Backend Engineer at HealthTap from 2016 to 2021, where he developed a search service for healthcare applications. He also held internships at eBay Inc. as a Search Spam Intern in 2014 and a Search Science Intern in 2013. Additionally, he interned at Microsoft as an Applications Intern (Bing) in 2015.
Education in Computer Science
Alex Shoup studied Computer Science at Carnegie Mellon University, where he earned a Bachelor of Science degree from 2012 to 2016. His education provided him with a strong foundation in software engineering principles and practices, which he has applied throughout his career in various technical roles.
High School Education
Before attending Carnegie Mellon University, Alex Shoup completed his high school education at Archbishop Mitty High School from 2009 to 2012. This educational background contributed to his early interest in technology and software development.
Specialization in Backend Infrastructure and Machine Learning
Alex Shoup specializes in designing backend infrastructure for healthcare solutions. His expertise includes working with APIs, database models, microservices, and Kubernetes. He also focuses on integrating machine learning techniques to enhance natural language processing capabilities within backend systems, contributing to improved functionality and user interaction in healthcare applications.