Umer Farooq

Full Stack AI Systems Engineer with 6+ years building production AI systems and web applications that handle real traffic at scale.

I currently lead AI and full stack systems at ELEKS, architecting solutions that process over 50 million requests daily with sub 200ms latency. I own decisions on RAG deployment strategy and LLM integration patterns, lead technical delivery across AI and backend teams, and mentor senior engineers on production system design.

Before this role, I built and optimized RAG pipelines handling over 500,000 queries daily and cut LLM inference latency from 2.8 seconds to 180 milliseconds. Earlier, at Synergy-IT, I led full stack architecture for systems handling millions of daily requests and reduced database load by 60 percent through caching strategy.

My core stack: React and Next.js on the frontend, Python and Node.js on the backend, with deep focus on RAG pipelines, LLM integration, and microservices that stay reliable under heavy load.

I care about production AI that actually works at scale, not AI as a demo feature. Open to lead engineering roles or senior AI systems roles where reliability and real throughput matter.