Azeez Oseni

Founder & CTO at Dux Machina

Greater Houston, United States

About Azeez Oseni

Azeez Oseni is Founder & CTO at Dux Machina. Location: Greater Houston, United States.

Most AI transformations fail at the handoff. Strategy team designs the roadmap. Dev team builds the wrong thing. The gap kills ROI. I founded Dux Machina to eliminate that gap. We're a hybrid AI consultancy 60% strategic advisory, 40% elite implementation. We design AI transformation roadmaps for mid-market and enterprise companies, then build the intelligent systems that execute them. Same team. Same vision. No handoff. What I build: - Multi-agent AI systems: Designed and deployed a 63-agent autonomous architecture spanning 6 business functions (marketing, engineering, finance, sales, QA, proposals) with a 12-layer governance framework - Forward-deployed AI engineering: Embed with client teams to deploy production AI systems not demos, not POCs, production - AI-powered automation: Cut content production from $3,500/6 weeks to $1.21/47 seconds. Compressed 3-hour SDR research to 3 minutes at $0.30 - Operational audits: Map cross-department workflows, identify $50K-$200K in annual coordination waste, design the AI coordination layer Technical depth: Claude Agent SDK, Model Context Protocol (MCP), multi-agent orchestration, Python, TypeScript, RAG pipelines, n8n workflow automation, cloud infrastructure (AWS/GCP), CI/CD integration Before Dux Machina, I spent 7+ years at Accenture Federal Services as a Technical Consultant and AI architect designing cloud infrastructure, automation platforms, and system integrations for federal clients at scale. I also run Dux Vitae Capital, where we source and structure acquisitions for PE firms and family offices, combining deal execution with technology-driven transformation to maximize portfolio value. Engagement models: Fractional CTO, forward-deployed engineering, strategy-only advisory, full execution, or retainer. Technical focus: Multi-agent AI systems, LLM orchestration, RAG pipelines, agentic workflows, prompt engineering, GenAI architecture, MCP integration, production-grade AI deployment, end-to-end delivery. duxmachina.com

Skills

  • Amazon Web Services (AWS)
  • Application Programming Interfaces (API)
  • MLOps

Additional experience

  • Forward Deployed Engineer

    Accenture Federal Services

    Started July 2019

Education

  • Bachelor's degree, University of Maryland