Solving Production ML Failures: Why Your Training Metrics Lie
Production ML failures often stem from hidden data leaks and time travel traps rather than poor modeling. Senior developer Ahmad Wael explains why perfect training metrics lie and how to debug data leakage, feature defaults, and silent population shifts to build robust, production-ready machine learning systems that survive the real world.