Fahim Farhad

Designed and deployed a secure, containerized federated learning environment using Docker and Docker Compose, validating up to 4 concurrent federated nodes on a local testbed with a computer vision dataset.

Designed and deployed a secure, containerized federated learning environment using Docker and Docker Compose, validating up to 4 concurrent federated nodes on a local test bed with a computer vision dataset.

End-to-end ML pipeline: built a predictive analytics pipeline (research, feature engineering, training, deployment) to identify at‑risk students and support early intervention. Actionable dashboards: designed interactive Power BI dashboards used by academics and support staff, replacing spreadsheet-based reporting and improving decision turnaround time. Privacy-safe validation: generated synthetic datasets to validate model behavior under data privacy constraints, enabling robust pre-production testing. Stakeholder enablement: produced user documentation and led client handover.