Ali Rassas

Designed and deployed end-to-end machine learning pipelines in Python on AWS (Step Functions, S3, CloudWatch) for production-scale data processing. Built robust model evaluation frameworks measuring accuracy, latency, and robustness across diverse datasets to support production decisions. Implemented automated monitoring systems including drift detection, input validation, and performance tracking to ensure long-term model reliability. Provisioned scalable ML infrastructure using Terraform for experiment tr

Developed backend services in Python for ERP and business applications deployed in production environments. Implemented unit and integration testing using PyTest, improving system reliability and reducing regressions. Designed and maintained PostgreSQL and MySQL databases, ensuring performance and data integrity. Containerized applications using Docker to standardize development and deployment environments.