Core Strengths.
Deep, production-proven expertise across the full AWS cloud lifecycle — from initial landing zones to live AI inference pipelines.
DevSecOps & Compliance
SOC2, NIST SP 800-53 delivery
GitOps Automation
ArgoCD, Flux, zero manual operations
Kubernetes (EKS)
Karpenter, vCluster, Argo Rollouts
Terraform & IaC
DRY Terragrunt modules at org scale
Enterprise Architecture
Multi-region, multi-account AWS Orgs
AI on AWS
Bedrock, SageMaker, RAG pipelines
15+ Years Building Cloud Systems.
I'm a Principal AWS Cloud Solutions Architect with over 15 years driving cloud transformation at enterprise scale across fintech, healthcare, and government sectors.
My practice is defined by an automation-first, zero click-ops philosophy. Production environments I design have no manual operations — every infrastructure change is a signed Git commit that flows through peer review, automated compliance validation, and GitOps reconciliation before it ever touches a cluster.
I specialize in secure multi-account AWS Organizations, production-grade Kubernetes on EKS, DRY Terraform/Terragrunt module ecosystems, and enterprise AI deployments on AWS Bedrock. I've designed systems that passed SOC2 & NIST audits with zero findings, migrated state election workloads to GovCloud, and reduced infrastructure costs by 60%+ through Karpenter and spot orchestration.
Outside client work, I mentor engineers, contribute open-source AWS tooling, and advocate for security and compliance as first-class engineering constraints — not afterthoughts.
AWS Migration, Modernization & GenAI.
Hardened frameworks to modernize legacy workloads, reduce TCO, and deploy secure enterprise AI on AWS.
Migration & Modernization
MAP-aligned migration roadmaps using the 7 Rs to shift legacy systems to resilient, cloud-native topologies.
- Rehost → Replatform → Refactor
- VMware to EC2, SQL Server to Aurora PG
- Cutover strategies & day-zero FinOps
Cloud FinOps & Cost Optimization
Aggressive rightsizing, workload consolidation, and modern architectures to prune idle spend with zero disruption.
- Right-sizing & workload orchestration
- Active-Active Multi-Region resilience
- AWS Well-Architected compliance
Generative AI Workloads
Deploying production-ready LLM pipelines, security gateways, and semantic vector indexes inside secure cloud borders.
- AWS Bedrock & Knowledge Base setups
- Internal AI Copilots & Q in QuickSight
- Zero-Trust LLM safety & guardrails
How I Work.
From first conversation to production deployment — a repeatable, code-first process with no surprises.
Discover & Assess
Deep-dive into existing infrastructure, compliance posture, cost drivers, and team workflows before writing a single line of code.
Design in Code
Every architecture decision is captured as Terraform — not slides. Reviewed, version-controlled, and peer-approved before apply.
GitOps Deployment
All environment changes flow through Git. ArgoCD reconciles desired vs. actual state continuously.
Validate & Harden
Automated compliance scans, load tests, chaos experiments, and security audits run on every deployment pipeline.
Ready to eliminate click-ops from your stack?
Whether it's a migration, a security audit, or building your EKS platform from scratch — let's talk.