Orr Shilon

Orr Shilon's Title

Orr Shilon serves as the ML Engineering Team Lead. In this role, he oversees the development and deployment of machine learning models. His leadership ensures that the ML engineering team adheres to best practices in model training, validation, and deployment, ensuring high performance and reliability.

Orr Shilon's Expertise

Orr Shilon has a deep expertise in machine learning and its application in production environments. He emphasizes the importance of monitoring ML models, drawing parallels to the monitoring of application production workloads. This expertise allows him to anticipate industry trends and implement solutions that enhance the visibility and control over models in production. His approach ensures that ML models are not only effective but also sensitive to the intricacies of application production data.

Orr Shilon's Vision for ML Model Monitoring

Orr Shilon envisions a future where monitoring ML models becomes an industry standard, akin to the monitoring of application production workloads. He believes that gaining full visibility and control over models in production is crucial. This vision underscores the need for robust monitoring tools and practices that can detect and address issues in real-time, ensuring the reliability and performance of ML models.

Orr Shilon's View on Data Sensitivity

Orr Shilon considers ML models particularly sensitive when it comes to application production data. This perspective highlights the importance of stringent data governance and security measures in ML operations. By acknowledging the sensitivity of the data, Shilon advocates for practices that protect data integrity and privacy, ensuring that ML models are trustworthy and compliant with regulatory standards.