Khalid Sayyed

I’m an AI Software Engineer and Senior Analyst focused on shipping production-grade Generative AI capabilities that teams can actually use. I design end-to-end systems—from backend APIs to real-time user experiences—so LLM-powered features feel unified, reliable, and extensible.

At Capgemini, I engineered an enterprise-scale Generative AI Platform, delivering real-time LLM response streaming, web search integration, and multi-model conversational tooling. I independently built OpenAI-compatible REST API endpoints that route to AWS Bedrock foundation models, enabling standardized and secure LLM access across a broad engineering user base.

I also built autonomous developer workflows by extending the open-source Pi agent harness with a custom SDK layer for multi-model code generation and execution—adopted in production by multiple teams. Beyond assistants, I architected an intelligent marketing-focused RAG expert, a meeting intelligence system using Advanced RAG and metadata retrieval, and high-throughput AI-driven auditing workflows for actionable executive and SEO/performance insights.

Earlier, as an SDE (Fullstack+AI), I led full-stack AI solutions for 6+ enterprise clients using Next.js and developed a multimedia generation pipeline with a modern stack. My background includes a B.E. in AI and Data Science, and I’m continuously applying strong engineering fundamentals—OOP, REST APIs, and DevOps—alongside RAG, prompt engineering, machine learning, and deep learning.