Desire Chedjieu

Architected enterprise AI platforms leveraging Agentic AI, CrewAI, AutoGen, LangGraph, Claude, Gemini, and OpenAI models to automate compliance analysis, knowledge discovery, and operational decision support. Designed secure Retrieval-Augmented Generation (RAG) architectures integrating structured and unstructured enterprise data sources, improving knowledge retrieval accuracy while reducing information access latency by 40%. Led implementation of AI governance frameworks including model evaluation, hallucination detection, prompt security testing, model monitoring, and drift management using Arize and MLflow. Developed enterprise document intelligence solutions that transform complex unstructured content including contracts, policies, technical documentation, and compliance records into searchable AI knowledge repositories. Advised executive leadership on enterprise AI strategy, AI governance, cybersecurity controls, risk management, and digital transformation initiatives supporting multi-million-dollar business programs. Established secure AI development pipelines integrating vulnerability scanning, container security validation, software supply chain security controls, and automated compliance enforcement. Architected highly available AWS cloud environments supporting enterprise applications using Terraform, CloudFormation, and Infrastructure as Code best practices. Implemented secure CI/CD pipelines integrating vulnerability scanning, software composition analysis, secrets management, and container security controls. Integrated Trivy, SonarQube, and cloud-native security controls into software delivery pipelines, improving security posture and reducing deployment risk. Partnered with engineering and security teams to establish DevSecOps standards, secure deployment patterns, and cloud governance frameworks. Designed reusable infrastructure modules enabling accelerated cloud adoption while maintaining compliance and operational consistency. Architected enterprise data platforms leveraging AWS SageMaker, Glue, Lambda, and cloud-native analytics services to support large-scale public sector initiatives. Implemented automated machine learning pipelines for model training, deployment, monitoring, and governance. Designed semantic search and knowledge retrieval solutions utilizing early Retrieval-Augmented Generation (RAG) architecture patterns. Collaborated with business and technology stakeholders to modernize data management and analytics capabilities. Led secure cloud transformation initiatives supporting state government modernization efforts and regulatory compliance requirements.

Architected highly available AWS cloud environments supporting enterprise applications using Terraform, CloudFormation, and Infrastructure as Code best practices. Implemented secure CI/CD pipelines integrating vulnerability scanning, software composition analysis, secrets management, and container security controls. Integrated Trivy, SonarQube, and cloud-native security controls into software delivery pipelines, improving security posture and reducing deployment risk. Partnered with engineering and security teams to establish DevSecOps standards, secure deployment patterns, and cloud governance frameworks. Designed reusable infrastructure modules enabling accelerated cloud adoption while maintaining compliance and operational consistency. Architected enterprise data platforms leveraging AWS SageMaker, Glue, Lambda, and cloud-native analytics services to support large-scale public sector initiatives. Implemented automated machine learning pipelines for model training, deployment, monitoring, and governance. Designed semantic search and knowledge retrieval solutions utilizing early Retrieval-Augmented Generation (RAG) architecture patterns. Collaborated with business and technology stakeholders to modernize data management and analytics capabilities. Led secure cloud transformation initiatives supporting state government modernization efforts and regulatory compliance requirements. Standardized Infrastructure as Code deployment processes using ARM templates and Bicep, ensuring consistency across development, testing, and production environments. Implemented DevSecOps practices emphasizing security-by-design, automated compliance validation, and secure application delivery. Collaborated with cybersecurity teams to strengthen cloud governance, vulnerability management, and operational security practices. Managed hybrid cloud and virtualized infrastructure supporting healthcare, research, and clinical applications. Administered VMware and Microsoft Azure environments while maintaining HIPAA compliance and data protection requirements. Improved identity management, network architecture, and platform reliability supporting mission-critical healthcare workloads.