Walter Erquinigo
About Walter Erquinigo
Walter Erquinigo is a Staff AI Tools Engineer at Modular, where he focuses on unifying software and hardware for AI development. He has extensive experience in software engineering, having previously worked at Meta, Facebook, Airbnb, and Google, among others.
Current Role at Modular
Walter Erquinigo serves as a Staff AI Tools Engineer at Modular since 2023. In this role, he focuses on unifying software and hardware to streamline AI development and deployment processes. His work contributes to enhancing the efficiency of AI tools and improving developer productivity.
Previous Experience at Meta and Facebook
Walter worked at Meta as a Software Engineer from 2016 to 2022, spending six years in the San Francisco Bay Area. Prior to that, he was a Software Engineer at Facebook from 2013 to 2015. His experience at these leading tech companies provided him with a strong foundation in software engineering and development practices.
Educational Background
Walter holds a Master's degree in NLP and Data Science from the University of California, Berkeley, which he completed from 2015 to 2016. He also earned a Bachelor of Science in Informatics Engineering from Pontificia Universidad Católica del Perú, studying from 2006 to 2011. Additionally, he studied Mathematics and Computer Science at USP - Universidade de São Paulo for 11 months in 2010.
Leadership and Teaching Roles
Walter has held various leadership and teaching positions. He was the Scientific Committee Leader at Federación Olímpica Peruana de Informática from 2021 to 2024. He also served as a Visiting Lecturer at multiple institutions, including Universidad Católica San Pablo, Universidade Federal de Campina Grande, and Universidad Nacional de Ingeniería, all in 2012.
Interests and Contributions
Walter has a strong interest in enhancing developer productivity through tools such as debuggers and CPU tracing. He focuses on integrating telemetry and improving integrated development environments (IDEs). His contributions extend to developing infrastructure for heterogeneous computing environments, from edge to datacenter distribution.