ashrafml engineer

Architected enterprise-scale ML platforms supporting millions of daily transactions, reducing time-to-market for new ML features by 35% and establishing governance for monitoring, fairness, and explainability.

Designed and deployed classification, ranking, and recommendation models that boosted predictive accuracy by 20% and reduced deployment cycles from weeks to days via CI/CD and automated monitoring.

Built predictive and prescriptive models and interactive dashboards that improved decision-making across forecasting, personalization, and anomaly detection, validated via controlled experiments.

Supported dataset preparation and feature extraction, prototyped baseline ML models and automated preprocessing workflows, reducing manual effort by 25% and improving reproducibility.

Completed a Bachelor of Science in Computer Science focusing on foundational computing principles and practical machine learning applications.