DAFE O.

Manage production Kubernetes clusters across AKS and EKS — handle node scaling, pod resource tuning, network policies, ingress controllers, and cluster upgrades with zero downtime using rolling deployments and blue-green strategies. • Built CI/CD pipelines in Azure DevOps and GitHub Actions with multi-stage deployments, automated unit and integration testing, container image scanning, SonarQube code quality gates, and approval workflows for production releases. • Designed cloud networking across Azure and AWS — VNets, VPCs, private endpoints, NSGs, WAF, load balancers, and site-to-site VPN connections to secure traffic between retail systems, warehouses, and e-commerce platforms. • Built AI agents for marketing to automate campaign content, customer segmentation, and personalized promotions using LLMs connected to internal customer and sales data. • Deployed customer service chatbots powered by RAG to handle product inquiries, order tracking, and returns — reducing support ticket volume and response times. • Built inventory forecasting models that analyze sales trends, seasonality, and supply chain data to predict stock levels and reduce overstock and stockouts. • Set up Model Context Protocol (MCP) to connect AI agents with internal APIs, CRM, inventory systems, and third-party marketing tools. • Built the internal RAG system using Azure AI Search, Azure OpenAI, and LangChain to let teams query product catalogs, company policies, and knowledge bases in natural language. • Designed and deployed knowledge graph systems using Neo4j, Amazon Neptune, and Azure Cosmos DB to connect product, customer, and inventory data for better product recommendations. • Set up observability using Datadog, Prometheus, and Grafana — custom dashboards, distributed tracing, log aggregation, and alerting for faster incident response. • Work with InfoSec and compliance teams to maintain SOC 2 and ISO 27001 standards across all cloud environments.

1. Manage production Kubernetes clusters across AKS and EKS — handle node scaling, pod resource tuning, network policies, ingress controllers, and cluster upgrades with zero downtime using rolling deployments and blue-green strategies. 1. Built CI/CD pipelines in Azure DevOps and GitHub Actions with multi-stage deployments, automated unit and integration testing, container image scanning, SonarQube code quality gates, and approval workflows for production releases. 1. Designed cloud networking across Azure and AWS — VNets, VPCs, private endpoints, NSGs, WAF, load balancers, and site-to-site VPN connections to secure traffic between retail systems, warehouses, and e-commerce platforms. 1. Built AI agents for marketing to automate campaign content, customer segmentation, and personalized promotions using LLMs connected to internal customer and sales data. 1. Deployed customer service chatbots powered by RAG to handle product inquiries, order tracking, and returns — reducing support ticket volume and response times. 1. Built inventory forecasting models that analyze sales trends, seasonality, and supply chain data to predict stock levels and reduce overstock and stockouts. 1. Set up Model Context Protocol (MCP) to connect AI agents with internal APIs, CRM, inventory systems, and third-party marketing tools. 1. Built the internal RAG system using Azure AI Search, Azure OpenAI, and LangChain to let teams query product catalogs, company policies, and knowledge bases in natural language. 1. Designed and deployed knowledge graph systems using Neo4j, Amazon Neptune, and Azure Cosmos DB to connect product, customer, and inventory data for better product recommendations. 1. Set up observability using Datadog, Prometheus, and Grafana — custom dashboards, distributed tracing, log aggregation, and alerting for faster incident response. 1. Work with InfoSec and compliance teams to maintain SOC 2 and ISO 27001 standards across all cloud environments.

Built and managed GPU clusters on Azure for training Hivemind — Shield AI's autonomous pilot system that flies aircraft without GPS or human control in contested environments. Set up ML training pipelines for reinforcement learning models that teach autonomous drones to navigate, avoid obstacles, and make tactical decisions in real-time. Managed NVIDIA GPU nodes for large-scale deep learning workloads — handled driver updates, CUDA configurations, memory optimization, and job scheduling across training clusters. Deployed trained models to edge devices and AKS clusters for real-time inference, enabling split-second decision-making on autonomous aircraft like Nova and V-BAT drones. Built digital twin environments using NVIDIA Omniverse to simulate flight dynamics, sensor inputs, and mission scenarios — allowing models to train and test without physical aircraft. Set up ETL pipelines with Azure Data Factory and Databricks to process terabytes of flight telemetry, sensor data, and simulation outputs for model training and analysis. Built CI/CD pipelines in Azure DevOps for ML model versioning, automated testing, container builds, and staged deployments across dev, QA, and production environments. Integrated SonarQube for code quality, Trivy for container scanning, and automated security gates to meet defense contract requirements. Designed secure networking with private VNets, NSGs, private endpoints, and zero-trust architecture to protect classified workloads and meet DoD security standards. Worked with compliance teams to maintain ISO 27001, NIST 800-53, and ITAR requirements across all infrastructure and ML systems. Mentored engineers on MLOps practices — model versioning, experiment tracking, GPU optimization, and secure deployment strategies for defense applications.

1. Built and managed GPU clusters on Azure for training Hivemind — Shield AI's autonomous pilot system that flies aircraft without GPS or human control in contested environments. 1. Set up ML training pipelines for reinforcement learning models that teach autonomous drones to navigate, avoid obstacles, and make tactical decisions in real-time. 1. Managed NVIDIA GPU nodes for large-scale deep learning workloads — handled driver updates, CUDA configurations, memory optimization, and job scheduling across training clusters. 1. Deployed trained models to edge devices and AKS clusters for real-time inference on autonomous aircraft like Nova and V-BAT drones. 1. Set up ETL pipelines with Azure Data Factory and Databricks to process terabytes of flight telemetry, sensor data, and simulation outputs for model training and analysis. 1. Built CI/CD pipelines in Azure DevOps for ML model versioning, automated testing, container builds, and staged deployments across dev, QA, and production environments. 1. Integrated SonarQube for code quality, Trivy for container scanning, and automated security gates to meet defense contract requirements. 1. Designed secure networking with private VNets, NSGs, private endpoints, and zero-trust architecture to protect classified workloads and meet DoD security standards. 1. Worked with compliance teams to maintain ISO 27001, NIST 800-53, and ITAR requirements across all infrastructure and ML systems. 1. Mentored engineers on MLOps practices — model versioning, experiment tracking, GPU optimization, and secure deployment strategies for defense applications.

Built and managed AWS infrastructure supporting New Shepard — Blue Origin's suborbital rocket for commercial spaceflight and research missions. Deployed and managed Kubernetes clusters on EKS for mission-critical applications — handled node scaling, pod security policies, and zero-downtime deployments. Provisioned infrastructure using Terraform across multiple AWS accounts — VPCs, EC2, RDS, S3, IAM roles, and cross-account networking for launch operations. Built CI/CD pipelines with automated testing, container scanning, artifact management, and staged deployments across dev, test, and production environments. Designed secure networking — VPCs, transit gateways, private subnets, NACLs, security groups, and VPN connections between launch sites and data centers. Deployed workloads on AWS GovCloud to meet FedRAMP, ITAR, and NIST 800-53 compliance requirements for government and defense contracts. Implemented security controls including encryption at rest and in transit, secrets management with AWS Secrets Manager, and IAM policies following least-privilege principles. Set up monitoring with CloudWatch, Prometheus, and Grafana — dashboards for infrastructure health, alerting, and incident response runbooks. Built logging and audit pipelines using CloudWatch Logs, S3, and SIEM tools to support security reviews and compliance audits. Worked with security and compliance teams to pass FedRAMP audits and maintain continuous authorization for GovCloud workloads.

1. Built and managed infrastructure on AWS and Azure supporting pipeline monitoring and SCADA systems for energy operations. 1. Automated infrastructure provisioning using Terraform and Ansible across hybrid cloud and on-prem environments connected to pipeline control systems. 1. Deployed and managed configuration across Linux and Windows servers using Chef and Ansible for consistent environments. 1. Built monitoring and alerting with Prometheus, ELK stack, and CloudWatch to track pipeline telemetry, system health, and operational metrics in real-time. 1. Set up automated scaling for EC2 workloads using CloudWatch alarms and Ansible playbooks to handle variable data loads from pipeline sensors. 1. Designed secure network connectivity between cloud infrastructure and on-prem SCADA systems using VPNs, private subnets, and firewall rules. 1. Implemented disaster recovery and failover strategies to maintain system availability for critical pipeline operations. 1. Worked with compliance teams to meet SOC 2 requirements and support audit readiness across all environments.

Implemented and managed highly-available systems using Ansible for automation of deployment and configuration management. • Utilized Terraform to automate the provisioning of infrastructure on AWS, Azure resulting in more efficient resource management and cost savings. • Led the implementation of monitoring and logging solutions using Prometheus, ELK stack and Cloudwatch. • Collaborated with development teams to ensure that the systems supported their needs and optimized the performance of the application. • Worked with security teams to ensure compliance with security standards. • Automated scaling of EC2 instances using CloudWatch and Ansible. • Implemented Chef for configuration management and automation of infrastructure deployments. • Utilized PowerShell for automation of Windows servers and services. • Led the implementation of infrastructure as code and configuration management best practices resulting in more efficient and consistent system deployments. • Worked with multiple clients in different industries across a period of 5 years to implement, maintain and optimize their systems. • Led the implementation of automation solutions for multiple projects, resulting in a faster and more efficient deployment process. • Implemented disaster recovery solutions and procedures to ensure system availability during unexpected events. • Support daily operations including monitoring, troubleshooting, hardware configuration, patching, and upgrades. • Configure the firewall and rules, statically and dynamically route IP traffic on the servers. • Configuration and administration of NFS and Samba in Linux. • Configuration and troubleshooting - LAN and TCP/IP issues. • Handling problems or requirements as per the ticket (Request Tracker) created.

Managed AWS infrastructure supporting PlayStation services — ensuring high availability and performance for millions of users globally. Built and maintained monitoring and alerting using Datadog, CloudWatch, and Grafana to track service health, latency, and user experience metrics across PlayStation platforms. Deployed and managed containerized applications on Kubernetes (EKS) with Helm, supporting game services and backend APIs. Built CI/CD pipelines using Jenkins and GitHub Actions with automated testing and staged deployments for fast, reliable releases. Defined SLOs and set up dashboards to track uptime, response times, and error rates — ensuring PlayStation services met performance targets. Worked on incident response and on-call rotations using PagerDuty, reducing mean time to detection and resolution for production issues. Collaborated with development teams to troubleshoot performance bottlenecks and optimize infrastructure for peak gaming traffic