Enterprise AI Personalization — Real-Time AI for Fortune 500 Retail

The brands🔥

Built backend services and AI personalization infrastructure used by enterprise retailers including Samsung, Nissan, JCPenney, DICK'S Sporting Goods, and Fossil, products serving millions of shoppers in real time.

The problem at scale💯

Enterprise ecommerce isn't like a small Shopify store. When millions of shoppers hit the site, every personalization decision needs to happen in milliseconds, every behavioral signal needs to be processed without losing data, and every campaign needs to run reliably across regions and devices.

The hard part isn't the AI it's making sure the AI works under real production load, every day, for brands that can't afford downtime.

What I built🔥

Event-driven backend services that turn high-volume shopper behavior (product views, cart activity, browsing patterns) into real-time signals for AI-driven personalization and campaign execution. Built on AWS Lambda for elastic scale, with API integrations supporting enterprise client launches and production-grade reliability.

Outcomes🙌

- High-volume behavioral signals processed in real time

- Event-driven Lambda pipelines supporting AI recommendation systems

- Reliable infrastructure supporting enterprise brand campaigns

- Production launches across multiple Fortune 500 retail brands

Stack🧠

Node.js, AWS Lambda, event-driven architecture, REST APIs, ML-supporting infrastructure.

Best fit for👍

Enterprise SaaS, ecommerce platforms, AI/ML companies, personalization products, CRO/growth tools, and anyone building backend systems where reliability at scale matters more than clever architecture.