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AWS Cloud Engineer with hands-on infrastructure experience and an active U.S. federal security clearance — a rare combination in the freelance market. I build production-grade environments on AWS using Terraform, not click-ops. Every architecture I deploy is version-controlled, modular, and built to scale. What I deliver: • Custom VPCs with public/private subnets, NAT Gateway, and security group hardening • ALB + EC2 Auto Scaling groups with launch templates • RDS Multi-AZ deployments (MySQL, PostgreSQL, Aurora) • Serverless pipelines — Lambda, API Gateway, SQS, EventBridge, DynamoDB • Container workloads — ECS Fargate with ECR and CI/CD via GitHub Actions • Full monitoring stacks — CloudWatch dashboards, alarms, CloudTrail audit logs • WAF, Cognito, and IAM least-privilege security layers Every architecture decision I can speak to deeply — why Multi-AZ over Multi-Region for this use case, why Global Accelerator instead of CloudFront, why SQS over EventBridge for this pattern. I don't just build it; I explain it. I hold an AWS Cloud Practitioner certification (May 2026) and am actively pursuing Solutions Architect Associate. My portfolio includes four end-to-end infrastructure projects across HIPAA, PCI-DSS, and general-purpose environments. My clearance makes me a strong fit for government contractors, defense-adjacent SaaS, and any client where trust and security posture matter. Message me and I'll respond within a few hours.

Project Experience Apple - Site Reliability Engineer working with AWS and internet systems at Apple Sapiens - Senior AWS & Azure Cloud & DevOps Engineer Modus Create - Senior AWS DevOps Engineer & SRE - AWS CloudWatch Synthetics implementation and SRE best practices implementation Surge Forward - AWS Migrations Specialist - completed migration of IBM Netezza to AWS Redshift Hansen Technologies - AWS Cloud Engineer - Completed large scale migration from on premises Data Center to AWS Linux Academy - Cloud Training Architect Cloud Academy - Cloud Training Architect

As a Cloud & DevOps Engineer, I help companies build reliable cloud infrastructure, DevOps platforms, infrastructure automation, and highly available systems using AWS, Kubernetes, Terraform, CI/CD, and modern security and monitoring practices. Today, I also help teams adopt AI-assisted development tools, including Claude Code and automation agents, in a practical, secure, and production-ready way. Modern DevOps is no longer only about infrastructure, pipelines, and servers. Teams are now building faster than ever with AI coding assistants, autonomous workflows, and vibe-coding tools. But fast AI-generated prototypes often need expert cloud, DevOps, security, and architecture work before they can become stable production systems. This is where my 20 years of hands-on IT experience, recognition by Upwork as an Expert-Vetted professional, and being featured in Upwork's Success Stories become real advantages. I am also the author of The Cloud DevOps Engineer's Guide, where I showcase the proven methodologies I apply to help organizations design, automate, secure, and scale resilient, cloud-native infrastructures. My core expertise includes: ✔️ Cloud infrastructure on AWS, Azure, GCP, and DigitalOcean. ✔️ Kubernetes, Docker, Helm, and production container deployments. ✔️ Terraform, Ansible, Infrastructure as Code, and environment automation. ✔️ CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, and other tools. ✔️ Claude Code, OpenClaw, and AI-assisted development workflow adoption. ✔️ AI-generated and vibe-coded application review, stabilization, deployment, and scaling. ✔️ Large codebase navigation, refactoring support, and development automation. ✔️ AI-assisted test generation, documentation workflows, and code review support. ✔️ Security reviews for code, cloud infrastructure, secrets, permissions, and deployments. ✔️ Custom AI agents for engineering, DevOps, monitoring, and code review workflows. ✔️ 24/7 monitoring, observability, alerting, logging, and incident-response automation. ✔️ DevSecOps, secure pipelines, automated checks, and production hardening. ✔️ Cost optimization, scalability, reliability, and high availability. ✔️ Linux, Bash, Python, networking, databases, distributed systems, and cloud-native architecture. My experience across AWS, Azure, GCP, Kubernetes, Terraform, Docker, CI/CD, monitoring, and security allows me to work not only as a DevOps Engineer but also as an AI-Augmented Platform Engineer, helping teams modernize how they build, deploy, review, secure, and operate software. Whether you need to modernize your infrastructure, adopt Claude Code, explore OpenClaw-based automation, build custom agents, review an AI-generated codebase, stabilize a vibe-coded application, or deploy, secure, and scale your prototype in the cloud, I can help you move from idea to production with a secure, stable, and scalable setup.

I build production cloud infrastructure and the AI systems that run on it, LLM agents, RAG pipelines, and FastAPI services deployed with Terraform, secured with IAM and secrets management, built to pass HIPAA, SOC 2, and FedRAMP audits from day one. 100% Job Success Score. Solutions Architect with Google Cloud Premier Partner experience. 6 years architecting across AWS, GCP, and Azure platform, DevOps, AI/ML, and security in regulated environments (healthcare, federal, fintech). My clients run sensitive operations and need infrastructure they own, not SaaS they rent: I deploy it, document it, and hand it off so your team maintains it without me. Recent results: an AI exception-triage agent with tool calling and confidence scoring, CI/CD rebuilds cutting deploy times 70%, and 30-40% cloud spend reductions for enterprise clients. 👉🏻 CERTIFICATIONS ☑️ AWS Certified Solutions Architect ☑️ Google Professional Cloud Architect ☑️ Google Professional Data Engineer ☑️ Certified Kubernetes Administrator (CKA) ☑️ HashiCorp Terraform Associate ☑️ Azure Administrator (AZ-104) ☑️ Red Hat Certified Engineer (RHCE) If what you're asking for is a bad idea, I'll tell you before you pay for it. Share your use case and timeline, scoped plan within 24 hours.

Certified Cloud Architect with 13 years’ experience in IT comprising of Amazon web Services, GCP & On Premise platforms. Mastery in System Infrastructure, Administration, Deployments & Network Implementation; having acquired extensive experience in designing, deploying and operating highly available, scalable and fault tolerant systems. I begin all proposals with a free call to get requirements and outline expectations, ensuring that the contract is a good mutual fit for myself and my prospective new client. With any engagement, I document all codes and processes in detail so that my clients for business continuity. After I've completed a project, my clients are more than welcome to contact me if they need additional assistance with the systems I've built and enhanced for them. ✅ Expert Level ability with Server Administration in Linux & Windows environment, including designing a well architected framework for applications and infrastructure. ✅ Extensive Experience in Hybrid Migrations, replatforming or reArchitecting cloud solutions. ✅ Excellent in Devops integrating CICD to an Infrastructure build, deploy or operate with core IAAC skills(Terraform, Cloudformation, Ansible, cloud watch, Jenkins, etc.) 🌟 WHY ME ? 🌟 I stay Highly motivated, dedicated and results oriented ensuring client satisfaction & success delivered professionally. 🙋🏼‍♂️I am eager to work with you, to provide reliable, consistent, and High-Level solutions to design/development challenges. Please contact me, so we can discuss how we can work together to FULLY meet your Business Needs!

US based, West Point computer science, one person doing the work. I build the whole thing: AI agents, business automation, data pipelines, CRMs, websites, web apps, and iOS apps, end to end. Four years of it, since AI exploded. The CRM in my portfolio is one I built from scratch for a client and it shows how I work. What is live right now: 1. A telecom with 3,000 plus customers runs its billing off my pipelines. 1.3 million call records a month land in BigQuery from three carriers, get scored for sentiment per call, and drive the monthly bill for 3,000 companies. 88,000 phone numbers reconciled across four systems. Nobody checks any of it by hand. Knack, Supabase, BigQuery, about 40 Make scenarios and a Node service on Cloud Run, all talking to each other. 2. A RAG shopping agent for a jewelry site with hundreds of thousands of visitors a month. Retrieval over millions of diamond records plus the store's own knowledge, on web chat, Instagram and Facebook DMs, LINE, and the phone. It scores diamonds, builds comparison reports, and hands off to a human with full context. Before every deploy it runs against 50 test conversations, 10 times each, on the deployed build. 150 of 150 clean on the last run. 3. The CRM in my portfolio, for the largest yacht broker in Canada. The AI agent handles 85 to 90 percent of lead management before a broker touches the lead, on both the buyer and seller side, and generates and syndicates about 2,000 listing records a day across nine brands and three marketplaces. Built in about two months. 4. Dozens of live AI voice agents answering phones for businesses, each with a custom integration into the customer's own software (CRMs, ticketing, inventory, calendars). Speech to text, LLM brain, tool calls, escalation rules, all measured. 5. A medical practice's accounts receivable back to 2017, swept exhaustively. Found $912k that had never been adjudicated where the books said $468k. 6. A phone, email and IP validation API (LookupLab) that I own and run, live on Cloud Run with Stripe billing. 7. Full builds shipped end to end: the yacht broker CRM above, from a blank repo to brokers using it daily in about two months. A lead CRM with SMS and voice for a sports equipment retailer. 17 live websites. iOS apps on the App Store, including an AI camera app and a food scanner, with their Cloud Run backends and App Store submissions handled by me. How I work: verify, verify, verify. Nothing ships because it looks right. Real production records get replayed through the deployed code and the output diffed before it touches a customer. Agents get a test harness with a graded scenario set, and the grader has its own unit test. Runners log their own commit hash so a stale deploy cannot hide. Stack: Python (FastAPI), Node and TypeScript, OpenAI and Claude APIs, embeddings and vector search, Postgres and Supabase, BigQuery, Firestore, Make, Twilio and Telnyx, Stripe, Meta and Google Ads APIs, GoHighLevel, Docker on Google Cloud Run, GitHub. Voiceflow and Botpress certified expert, Telnyx Voice AI, Lindy AI certified builder, Google Cloud Associate Cloud Engineer, Azure AI Fundamentals. What working with me looks like: a call to map your business to the two or three workflows with the biggest payoff, then the first one ships small with a test set, gets measured, and expands from there. You see something working in the first week. GitHub is PpiNeaPpLe. Client work lives in private repos, I will screen share any of it on a call. Give me a real problem and some data and I will pull it apart with you on a call.