From Prototype to Production: Building an ML-Backed Feature That Actually Scales
A successful ML prototype is just the beginning — scaling it for production requires robust data pipelines, modular design, monitoring, and cross-team alignment. Turning ideas into resilient, real-world ML features demands a strategic mindset and the right development partners