Frederick Emile Bondzie-Arthur is a Technical Lead in Data Engineering at Fido Money, where he leads engineering work across data platforms, real-time credit decisioning, identity verification and ML-driven lending systems operating across multiple African markets.

He has worked across product, software engineering and data engineering, with a focus on building production systems where data correctness, reliability and latency directly affect financial decisions. His recent work includes designing the feature-generation architecture and feature-serving layer behind Fido’s ML-based credit decisioning platform, as well as building data products for experimentation, KYC/AML and financial operations.

Frederick is particularly interested in the engineering problems that appear when systems move from prototypes to production: data correctness, distributed systems, observability, reliability and the gap between what a model expects and what a production system actually serves.