Safe AlKalouti

Led ML platform strategy across 4 engineering teams (32 SDEs) serving 400+ ML models and 300k classifiers, generating $230M in revenue optimization and avoiding $180M in EU compliance penalties through accurate product classification.

• Launched GenAI platform with prompt lifecycle management and vector similarity search, supporting 100+ applied scientists and 5K+ prompts while reducing inference costs by 40% through optimized batching infrastructure.
• Extended platform to support multimodal ML inference (images, external catalogs, reviews, brand data), improving catalog gap prediction accuracy by 100 bps MoM and influencing AWS roadmap for reusable ML primitives.

Led the integration of advanced data table features in a dual-sided marketplace, cutting time spent for core use actions by 30%.

• Launched a scalable notification framework across 10+ SaaS apps, enhancing communication via in-app, email, and API notifications.
• Developed a suite of enterprise services, unifying user experience across 10+ SaaS apps, marked by the adoption of a cohesive navigation system and micro frontends.

Launched a unified cart UI across 5 brands, boosting revenue per visitor by 5% and lowering exit rates by 3%.

• Improved order fulfillment by launching a curbside pickup option for BOPIS orders, growing BOPIS orders by 2.5%.
• Improved conversion rate by 4% by Integrating popular third-party payment methods (Apple Pay, PayPal, AfterPay) to shopping bag flow.