Luke

Luke Okagha is an AI Systems Engineer focused on building practical systems that connect large language models and AI agents with APIs, data, and real business workflows. His work brings together backend engineering and agentic automation, with experience and technical focus spanning Model Context Protocol (MCP), TypeScript, and Python. The emphasis is on turning AI capabilities into connected, usable systems, guided by an “evidence over hype” approach.

Through his engineering work, Luke offers expertise relevant to AI systems engineering, AI platforms, applied AI, and senior backend development. His portfolio invites visitors to explore engineering work and get in touch about building systems. He is open to roles in these areas and welcomes opportunities from organizations worldwide, including international candidates seeking remote collaboration. Visitors can also find his professional and project profiles through GitHub, LinkedIn, ColdRunners, TRICODE, and Twitter/X. For inquiries, Luke provides a direct email contact and encourages prospective collaborators and employers to ask about the systems he builds.