11-04, 10:00–10:30 (Asia/Jerusalem), Green Track
In this talk we will share how our SDK empowers ML developer to build powerful, customized data apps—without needing deep expertise in cloud infrastructure or data engineering.
Mobileye primarily focuses on algorithmic (ML/DL) development. Approximately 70% of our development time is dedicated to data-oriented tasks with large-scale data analysis being one of our major challenges.
To address this challenge, we've developed a solution that empowers developers to build data applications for large-scale data analysis using simple Python code which are then transformed into web dashboards.
We will present our system architecture and SDK that facilitates the apps development while abstracting the complexity of both visualization and writing queries over big data framework.
With over 10 years of experience as a software engineer and leader in various domains, including backend, frontend, cloud computing, big data, and infrastructure, I am passionate about building innovative and efficient solutions, fostering collaboration, and bringing teams together to reach new heights.
David is a Software Engineer at Mobileye, specializing in self-service big data analytics platforms.
With extensive experience in big data engineering, he has a strong background in developing and optimizing large-scale data pipelines using Python, PySpark, and AWS.
David has also contributed to open-source projects in the Python data ecosystem. (https://github.com/DavidKatz-il)