Hello there, I am
Ryan
Cheung.
AI Development, Cloud Architect & DevOps
I am an engineer focused on cloud architecture design and cloud-native development. I am dedicated to transforming complex physical environments into highly resilient, self-healing modern cloud clusters through orchestration techniques and infrastructure automation frameworks.
Cloud Engineering Practice
I continuously explore high-availability architecture in multi-cloud environments, striving for the perfect balance between computing performance, operational costs, and security compliance. To me, cloud technology is not just a development tool, but an engineering art form for building the digital world.
Technical Deployment Strategy
Specializing in Infrastructure as Code (IaC) and CI/CD automation. My goal is to build seamless and elastic development environments, comprehensively accelerating product delivery and the stability of modern digital transformation.
Core Expertise
Cloud & DevOps Architecture
Designing high-availability multi-cloud ecosystems and containerizing sophisticated applications for modern delivery.
- Automating Lifecycle Management via Terraform
- Orchestrating Scalable Workloads on Kubernetes
- Connecting AWS, GCP & Azure via VPC Peering
Data Center Operations
Mastering the physical foundation of the cloud through strict global standards and "Smart Hand" facility engineering.
- Managing Enterprise Rack, Stack & Deployment
- Handling Structured Cabling & Remote Support
- Strict SOP Adherence for Mission-Critical Ops
Software Engineering
Developing sophisticated Cloud-Native backends, integrating AI methodologies and real-time data processing.
- Building Python & Flask APIs for AI Agents
- Architecting Vector DB & RAG Pipelines
- Integrating MediaPipe Computer Vision Analytics
Site Reliability (SRE)
Fortifying service resilience through proactive 24/7 monitoring and data-driven incident resolution.
- Executing 24/7 Monitoring & High-Availability
- Coordinating Cross-Departmental Incident Recovery
- Ensuring Stability Across Hybrid Cloud Environments
Selected Works
Multi Cloud Deploy with Terraform
Architected and deployed a highly available, multi-node Kubernetes cluster across AWS, GCP, and Azure using a unified Control Plane. This project focused on solving complex hybrid cloud networking challenges, implementing seamless inter-cloud VPC peering, and automating full-stack provisioning via Terraform. The solution delivered robust auto-scaling capabilities and unified observability for mission-critical distributed workloads.
Intelligent Child Dev Analysis
Developed a sophisticated Computer Vision platform for pediatric behavioral analytics, integrated with a Cloud-Native backend. The system leverages MediaPipe for real-time skeletal tracking and behavioral pattern recognition. To scale intelligence, I implemented a Retrieval-Augmented Generation (RAG) architecture using a Vector Database, allowing the AI agent to provide clinical-grade analysis by querying a curated foundation of medical literature.
Professional Journey
Education
HKIIT
Higher Diploma in Cloud and Data Centre Administration
Systematically studying the architectural design logic of modern cloud ecosystems, core applications of virtualization technologies, and large-scale data center operation strategies. Focusing on high-performance network security defense systems and distributed systems management, striving to find optimal technical evolution paths in complex environments.
2023 - 2024IVE
Diploma of Foundation Studies (Information Technology)
Established core logical foundations in computer science and software engineering. Through intensive training in programming, network communication protocols, and database management systems, I built a solid academic foundation for deep diving into the cloud computing field.