Mohamed Anas Neji

I am software engineer engineer who builds scalable data pipelines, production ML systems, and analytical tools to transform large datasets into actionable insights. I have hands-on experience with Databricks, Azure Fabric, and MLOps practices, delivering solutions that improve performance and reduce costs.

In internships and part-time roles I deployed LLM-driven automation, launched real-time classification applications, designed data warehouses, and created interactive Power BI dashboards tied to automated pipelines. My projects include topic-modeling web apps, time-series deep learning ensembles, and CI-backed ML deployment systems.

I bring strong engineering fundamentals in Python, SQL, and TypeScript/C#, combined with practical experience in Spark, PyTorch, and cloud-native data tooling. I seek opportunities to build reliable, efficient ML-powered products that scale and directly impact user experience and business metrics.