Andy Bryant
About Andy Bryant
Andy Bryant is a Software Engineer with extensive experience in designing scalable systems and APIs. He has worked at various institutions, including NBC, Harvard University, and the University of California, Santa Cruz, and has a strong educational background in Computer Science.
Current Role at Pepper
Andy Bryant has been working as a Software Engineer at Pepper since 2021. In this role, he focuses on developing and maintaining software solutions while ensuring high performance across engineering projects. His work is conducted remotely, allowing him to collaborate with teams and contribute to various initiatives within the organization.
Previous Experience in Software Engineering
Prior to his current position, Andy Bryant held several roles in software engineering and development. He worked as a Research Development Software Engineer at the University of California, Santa Cruz from 2020 to 2022. He also served as a Research Applications Developer at Harvard University from 2019 to 2021. His experience includes designing and deploying high-performance systems for online platforms and AI applications.
Education and Expertise
Andy Bryant has a strong educational background in computer science. He studied at Harvard Extension School, earning 20 credits towards a Master of Liberal Arts in Extension Studies from 2019 to 2021. He also completed a Graduate Certificate in Computer Science at Northeastern University from 2018 to 2019. Additionally, he holds a Bachelor of Science in Motion Pictures and Spanish from the University of Miami, completed in 2011.
Media Production Background
In addition to his software engineering expertise, Andy Bryant has experience in media production. He co-founded Pros and Cons Studios, LLC, where he worked as a Producer from 2010 to 2013. He also served as a Video Production Intern at NBC for six months in 2009. His roles in media production have contributed to his diverse skill set.
Technical Skills and Contributions
Andy Bryant is skilled in designing REST and GraphQL APIs, ensuring high performance across projects. He leads the development of machine learning solutions, including data pipelines and recommender systems. His technical expertise extends to crafting scalable cloud infrastructures for mobile applications, optimizing user interfaces, and implementing industry-leading technologies for user experience.