I'm a Software Engineer passionate about building scalable cloud infrastructure and creating full-stack applications that can handle real-world traffic. I work with both AWS and GCP to design cloud-native solutions, and I also build agentic AI systems using the Claude API and Google Gemini.
I believe in Infrastructure as Code, automated deployments, and making systems that don't wake you up at 3 AM. Let's build cloud architecture that scales effortlessly.
- 💻 Software Engineering: Build full-stack applications with modern frameworks and best practices
- ☁️ Multi-Cloud Architecture: Design and deploy production-ready infrastructure on AWS and GCP
- 🔄 DevOps & CI/CD: Build automated pipelines that take code from commit to production with zero downtime
- 🏗️ Infrastructure as Code: Terraform everything - VPCs, databases, compute, networking, security groups
- 📊 Monitoring & Observability: Set up comprehensive logging and metrics so you always know what's happening
- 🔐 Security First: Implement IAM best practices, encryption at rest and in transit, and proper network isolation
- 🤖 Agentic AI: Build AI agents that reason, use tools, and take action — not just chatbots
const chenyan = {
role: "Software Engineer | Cloud Engineer",
cloud: {
aws: ["EC2", "RDS", "S3", "Lambda", "CloudWatch", "ALB", "ASG", "Route53", "SNS"],
gcp: ["Compute Engine", "Cloud SQL", "Cloud Storage", "Cloud Functions", "Firebase"]
},
infrastructure: ["Terraform", "Ansible", "Packer", "Docker", "Kubernetes"],
ai: ["Claude API", "Google Gemini", "Agentic AI", "RAG", "Prompt Engineering", "NVIDIA NemoClaw/OpenClaw"],
backend: ["Python", "Flask", "Node.js", "SQLAlchemy", "PostgreSQL"],
frontend: ["JavaScript", "TypeScript", "React", "Next.js", "HTML/CSS"],
devops: ["GitHub Actions", "CI/CD", "Linux/Bash"],
monitoring: ["CloudWatch", "StatsD", "Custom Metrics"],
security: ["IAM", "SSL/TLS", "KMS Encryption"],
languages: ["Python", "Java", "JavaScript", "TypeScript", "SQL", "C", "C++"],
spokenLanguages: ["English", "日本語", "中文"]
}Interactive 3D gallery with an AI agent that controls the environment through natural language, built on the Claude API.
- Agentic System: Natural-language input → intent parsing → tool-use execution → real-time 3D scene updates (lighting, color, materials)
- RAG Q&A: Answers visitor questions from a structured knowledge base with dynamic context injection
- Frontend: Three.js for real-time 3D rendering, Web Speech API for voice control
- Stack: JavaScript, Three.js, Claude API, RAG Pipeline
Production-ready auto-scaling web app built for high availability and performance on AWS
- Architecture: Multi-AZ deployment with Application Load Balancer
- Auto-scaling: Dynamic scaling based on CloudWatch metrics
- Database: RDS PostgreSQL with automated backups and encryption
- Storage: S3 integration with lifecycle policies
- Monitoring: Custom CloudWatch metrics and alarms
- Security: SSL/TLS, IAM roles, security groups, and encryption
- Stack: Python, Flask, PostgreSQL, AWS, Docker
Complete infrastructure automation - because clicking in the console is so 2010
- Networking: Custom VPC with public/private subnets across multiple AZs
- Compute: Auto Scaling Groups with custom launch templates
- Load Balancing: ALB with health checks and target groups
- Database: RDS with parameter groups and subnet groups
- DNS: Route53 records for custom domain routing
- Security: Security groups, NACLs, and IAM policies
- Stack: Terraform, Packer, AWS
🗺️ Map Memoir
Full-stack location tracking and memory mapping application built on Google Cloud Platform
- Cloud Platform: GCP (Firebase, Cloud Storage, Cloud Functions)
- Features: Interactive map interface, real-time location tracking, memory journaling
- Architecture: Serverless backend with Firebase authentication
- Frontend: Responsive web design with interactive maps
- Stack: JavaScript, Node.js, PostgreSQL, GCP, Firebase
Desktop application for college students to manage sublet housing with role-based access and multi-step application workflow.
- Platform: JavaFX desktop application with full MVC architecture
- Features: User authentication system, property listing management, application queue processing, admin dashboard
- Architecture: Model-View-Controller pattern with separate controller, model, and FXML view layers
- User Roles: Student and admin interfaces with distinct functionalities
- Stack: Java, JavaFX, FXML, CSS
- 🎓 Preparing for the Certified Kubernetes Administrator (CKA) exam
- 🤖 Exploring agentic AI workflows with NVIDIA NemoClaw/OpenClaw
- 🔧 Building serverless architectures with AWS Lambda and SNS
- 📖 Deep-diving into TCP/IP networking and distributed systems
- 🧩 Practicing algorithms and data structures for technical interviews
M.S. in Software Engineering & Information Systems | Northeastern University
- Focus: Object-oriented design, Cloud Infrastructure, Distributed Systems, System Design, Database Design
- Key Courses: CSYE6225 (Cloud Computing), Database Management, Algorithms, Object-oriented design
- 💼 LinkedIn: https://www.linkedin.com/in/chenyan-zhu-cy/
- 📧 Email: mailto:chenyanz@outlook.jp or zhu.chenya@northeastern.edu
- 🌟 Looking for: Cloud Engineering roles, Software Engineering positions, DevOps positions, AI/Agentic Engineering opportunities
- 👧 Personal Profile web: coming soon...
- 🌏 Trilingual coder - I debug in English, Japanese and Chinese
- 🎯 I believe the best infrastructure is the one you never have to touch
- ☕ Powered by coffee and automated deployments
"The best infrastructure is invisible - it just works."

