Marcus Chen is an AI automation strategist and technical writer with over 12 years of experience building software that bridges the gap between cutting-edge AI and real-world business applications.
After earning his MS in Computer Science from Carnegie Mellon University, Marcus spent 7 years as a senior software engineer at a Series C fintech company, where he led the development of automated decisioning systems processing over 2 million transactions daily. His work on intelligent workflow automation caught the attention of the broader AI community, leading to speaking engagements at AWS re:Invent, Google Cloud Next, and multiple AI-focused conferences.
In 2023, Marcus transitioned to independent consulting, helping organizations implement AI agent architectures using tools like Model Context Protocol (MCP), LangChain, and custom CLI integrations. He has guided over 50 companies through their AI transformation journeys, from early-stage startups to Fortune 500 enterprises.
Marcus is a regular contributor to leading technology publications, writing about agentic AI, developer tools, and the future of software-as-a-service. His analysis of the 'Build for Agents' movement and its implications for SaaS has been cited by industry leaders including Y Combinator partners and prominent AI researchers.
When he's not writing code or analyzing AI trends, Marcus advises early-stage AI startups and mentors aspiring engineers through Carnegie Mellon's alumni network.