Chief Architect | Cloud, DevSecOps, and AI Innovator
I'm Arun Sanna – a passionate architect with extensive experience in building and modernizing enterprise platforms. I specialize in cloud migrations, DevSecOps, and innovative AI/ML integrations that drive efficiency and transform legacy systems.
- Experience: Led critical projects for organizations such as the Department of Defense (DoD) and the Centers for Medicare & Medicaid Services (CMS).
- Expertise: AWS, Azure, GCP, Kubernetes, Terraform, and cutting-edge AI/ML frameworks.
- Highlights:
- Architected secure, highly available systems.
- Pioneered rapid, mission-critical deployments.
- Built and led high-performing teams delivering measurable results.
- Integrated AI-powered solutions that streamline workflows and enhance machine learning capabilities.
Goal:
- Lead cross-functional teams to deliver high-impact solutions for the Department of Defense (DoD) and the Centers for Medicare & Medicaid Services (CMS).
Expanded Context:
- Department of Defense (DoD): Tasked with national security and military operations, the DoD requires robust, secure, and scalable systems to support mission-critical applications—from defense strategies to emergency response operations. Learn more and Partybus
- Centers for Medicare & Medicaid Services (CMS): Responsible for administering major federal healthcare programs, CMS needs efficient, secure platforms to manage and modernize services for millions of beneficiaries, ensuring both compliance and rapid deployment.
Outcomes:
- Pioneered rapid, mission-critical deployments during high-stakes operations.
- Modernized legacy systems, building robust, secure platforms for large-scale applications.
Numbers:
- Coordinated efforts that supported the evacuation of 120,000+ individuals during Operation Allies Refuge.
- Migrated 50+ microservices within 90 days.
- Boosted team efficiency by 50%.
Goal:
- Automate and modernize cloud infrastructure to create scalable, secure environments.
- Build Rapid Modernization plans
Outcomes:
- Established robust systems using Terraform, AWS CDK, and Kubernetes.
- Enhanced system uptime and reliability while reducing deployment times.
Numbers:
- Transitioned 300+ enterprise applications.
- Achieved 99.99% uptime.
- Reduced operational costs by 45%.
Goal:
- Integrate AI and machine learning to drive automation, enhance security, and optimize CI/CD pipelines.
Outcomes:
- Deployed AI-powered automation, including large language model (LLM) deployments, to support data scientists in real-time inference and training.
- Streamlined operational workflows with AI-driven analytics and automated compliance checks.
- Enabled high-performance machine learning pipelines on NVIDIA GPU clusters.
Numbers:
- Saved 25+ hours of manual work per week.
- Accelerated deployment frequency from months to days.
- Reduced manual compliance efforts by 70%.
- Enhanced ML training efficiency, contributing to a 30% improvement in overall system performance.
- Cloud Platforms: AWS, Azure, GCP
- Container Orchestration: Kubernetes (EKS, GKE, AKS)
- Infrastructure as Code: Terraform, AWS CDK, OpenTofu
- CI/CD & Automation: Jenkins, GitLab CI, ArgoCD
- AI/ML: NVIDIA GPU Workloads, TensorFlow, PyTorch, LangChain, Large Language Models (LLMs)
- Security & Compliance: DevSecOps, Zero Trust, FedRAMP, SOC2, ISO 27001
- Certified Kubernetes Administrator
- NVIDIA Certified AI Infrastructure and Operations
- AWS Certified Solutions Architect Professional
- Google Cloud Certified Professional Architect
- Azure Certified Solutions Architect Expert
- IBM Certified Associate Developer, WebSphere
- Microsoft Certified Technology Specialist
I’m always excited to chat about tech innovations and collaboration opportunities.
- Email: arun.sanna@outlook.com
- LinkedIn: Arun Chowdary
- GitHub: arunsanna
Crafted with passion and innovation.