Juan Casse
About Juan Casse
Juan Casse is an Artificial Intelligence Engineer currently working at Beyond Limits in Glendale, California, with extensive experience in software development, data science, and engineering roles across various industries.
Current Position at Beyond Limits
Juan Casse is currently employed as an Artificial Intelligence Engineer at Beyond Limits in Glendale, California, United States. He holds the role of AI Software Engineer at the same company. His responsibilities include developing and administering one-day courses on AI subjects for an internal academy and providing support to data scientists on a proprietary AI engine.
Previous Roles and Experience
In his earlier career, Juan Casse worked at InAuth, Inc. as a Software Development Engineer in Test (SDET) in Santa Monica, CA, from 2016 to 2017. Prior to that, he was a Data Scientist at Children's Hospital Los Angeles (CHLA) from 2014 to 2016. He also served as a Graduate Research Assistant at the University of California, Riverside from 2013 to 2014 and as a Software Engineering Intern at Google in 2013. Additionally, Juan has held various instructional roles at universities, including Associate Instructor at Harvey Mudd College and Teaching Assistant at the University of California, Riverside.
Educational Background
Juan Casse holds a Doctor of Philosophy (PhD) in Computer Science from the University of California, Riverside, where he studied from 2008 to 2014. He also earned a Master of Science (MS) degree in Computer Science from California State University, Long Beach, which he attended from 2005 to 2008. His foundational education includes a Bachelor of Science (BS) degree in Electrical Engineering from Marquette University, completed between 1988 and 1992.
Technical Projects and Contributions
Juan Casse has contributed to various technical projects throughout his career. He set up MLOps in Kubernetes using Kubeflow and MLflow as a proof of concept and implemented DataOps in Kubernetes using Apache Iceberg, Ozone, Kafka, and Spark. Additionally, he developed REST APIs for ML pipelines using mlflow and metaflow. He also created an automated testing and reporting framework for a mobile SDK and developed a web IDE for an AI engine. Juan implemented a fuzzy inference engine Python package as well.
Industry Experience in Engineering
Before transitioning into AI and data science roles, Juan Casse accumulated valuable experience in the engineering sector. He worked at LifeScan LLC, a Johnson & Johnson company, as a Staff Engineer in Manufacturing from 2002 to 2004, and previously as a Senior Manufacturing Engineer from 1997 to 2002. He also served as a Project Engineer in Factory Automation at Baxter from 1993 to 1997. His roles involved significant responsibilities in manufacturing and automation engineering.