Onyeka Daniel Igwebuike

WORK HISTORY

EDUCATION

ABOUT ONYEKA DANIEL IGWEBUIKE

I work as a GenAI Architect, designing and delivering scalable, secure, and enterprise-grade AI systems that integrate generative models, optimization, and real-time data into production environments.My focus is on architecture-first AI: translating complex business and operational problems into robust AI platforms that combine cloud-native infrastructure, data pipelines, and intelligent decision-making. I have over 10 years of experience building and operating distributed systems across AWS, Azure, Kubernetes, and Terraform, with a strong emphasis on security, reliability, and compliance.In my current work, I design end-to-end GenAI and AI-enabled systems, including- Generative and optimization-driven decision engines- Closed-loop AI systems integrating ERP, MES, and operational data- MLOps and GenAIOps pipelines for controlled deployment and monitoring- Human-in-the-loop and governance-aware AI architecturesI specialize in cloud architecture, MLOps, DevOps, and software engineering, enabling organizations to move AI from experimentation into reliable, explainable, and production-ready systems. My hands-on experience includes building ML pipelines using SageMaker, MLflow, and Kubeflow, developing scalable services in Python and Go, and automating delivery with GitLab CI, ArgoCD, and cloud-native CI/CD platforms.My approach balances innovation with responsibility — ensuring AI systems are secure-by-design, observable, cost-aware, and aligned with regulatory frameworks such as the EU AI Act.If you’re working on ambitious projects in cloud infrastructure, AI, or data platforms, I would love to connect!