Lewis Njuguna

I’m a forward-thinking AI engineer with 4.5 years of experience bridging software engineering and autonomous AI agents. I focus on architecting intelligent systems that solve complex business operations challenges with production-ready reliability.

In my current role as a Senior AI Engineer, I design multi-agent architectures using LangGraph and CrewAI, and I lead integrations that make LLM systems actually useful in real workflows. I’ve implemented Model Context Protocol (MCP) to connect tools effectively, and I build end-to-end LLM evaluation pipelines using RAGAS and LangSmith to ensure quality before deployment.

Previously, as a Software Engineer (AI & Data) at Global Solutions, I deployed LLM-powered applications across AWS Bedrock and Azure AI. I improved retrieval performance with semantic chunking and vector database approaches, and I engineered real-time AI interfaces using Python/FastAPI and TypeScript-based services.

I started as a Junior Software Developer, where I built scalable RESTful APIs, managed PostgreSQL databases, and automated CI/CD workflows with GitHub Actions and Docker. Across every stage, I bring an agentic-systems mindset and a strong engineering discipline—so teams get dependable AI platforms, not demos.