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Hi, I'm Michael Tran 👋

DevOps Engineer | Cloud Infrastructure Architect | Healthcare Technology Specialist

With over 10 years of experience designing and automating cloud-native infrastructure across AWS, Azure, and GCP, I specialize in building secure, scalable, and compliant systems for mission-critical healthcare applications. My expertise spans Infrastructure as Code, Kubernetes orchestration, CI/CD automation, and MLOps pipelines—all with a focus on HIPAA, SOC 2, and FDA 21 CFR Part 11 compliance.


🚀 What I Do

  • Cloud Infrastructure: Design multi-cloud environments with 99.99% uptime using Terraform, Pulumi, and Ansible
  • Container Orchestration: Build production-grade Kubernetes platforms (EKS, GKE, AKS)
  • CI/CD Automation: Develop end-to-end pipelines with Jenkins, GitHub Actions, ArgoCD
  • Healthcare Data: Implement secure pipelines for FHIR/HL7 and DICOM workflows with full PHI protection
  • MLOps & AI: Deploy GPU-accelerated AI workloads for medical imaging and clinical NLP
  • Security & Compliance: Ensure regulatory compliance through automated scanning and encryption

🛠️ Tech Stack

Cloud Platforms
AWS GCP Azure

Infrastructure & Automation
Terraform Ansible Pulumi

Container & Orchestration
Kubernetes Docker Istio

CI/CD & DevOps
Jenkins GitHub Actions ArgoCD

Programming
Python Go Node.js TypeScript

Monitoring
Prometheus Datadog Grafana


📈 Key Achievements

Optimized GPU performance by 30% for AI-powered medical imaging workloads
🎯 Achieved 99.99% uptime across multi-cloud production environments
🚀 Increased deployment speed by 50% through automated CI/CD pipelines
💰 Reduced cloud costs by 25% via container rightsizing and optimization
🔒 Reduced security incidents by 35% through enhanced monitoring
📊 Processed 1M+ events daily with event-driven data pipelines


🌐 Portfolio & Projects

Portfolio

Featured Projects:

  • 🏥 Multi-cloud Healthcare Infrastructure with 99.99% uptime
  • 🤖 GPU-Accelerated AI/ML Pipelines for medical imaging
  • 🔐 HIPAA-Compliant CI/CD Systems with automated scanning
  • 📊 Real-time Patient Monitoring Platform processing 1M+ events/day

💡 "Automate everything, secure by default, scale with confidence"

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