GDPR was supposed to be a burden. It made my systems better. When GDPR hit, most companies panicked. I saw it differently—as forced discipline to clean up years of sloppy data practices. Turns out, when you can't hoard unnecessary data, you build smarter systems. 📊 The right to explanation forced us to design transparent AI. The right to deletion forced us to architect with data lifecycle management. The consent requirements forced us to respect user agency. Every "restricti

Raw accuracy is overrated. You can have a 95% accurate model that nobody trusts. I've seen it happen repeatedly—engineering celebrates the metrics while business users ignore the output. Why? Because they don't understand HOW the system reached its conclusion. 🎭 When I reduced customer-reported issues by 90%, the breakthrough wasn't just better models. It was building systems where users could trace every decision back to its source. Explainability isn't a nice-to-have; it's