I help businesses operate faster with reliable cloud infrastructure, monitoring, backup, n8n workflows, controlled agent runtimes, and secure integrations between the tools they already use.
04service lanesAIautomation readyOpsmonitoring and recoveryAPIbusiness integrations
Service 01
Cloud Infrastructure
Design, migrate, deploy, and maintain business infrastructure across AWS, Google Cloud, DigitalOcean, Docker, Kubernetes, Terraform, Cloudflare, and S3-compatible storage.
Typical stack
AWS GCP DigitalOcean Docker Kubernetes Terraform
Business outcome
Reliable hosting, cleaner deployments, safer DNS/SSL, and cloud systems that are easier to operate.
Connect business events and internal knowledge with n8n workflows, AI assistants, document retrieval and clear human handoffs. Scope data sources, access rules and failure handling before implementation.
Typical stack
n8n OpenClaw Hermes Agent OpenAI Gemini Qdrant
Business outcome
A workflow designed around the team's task, with traceable steps, source references where relevant, and defined access boundaries.
Connect Odoo, business APIs, documents, notifications and approval steps. Current development includes an Odoo ERP with an integrated AI chatbot, where model visibility and use follow the user's permission level.
Typical stack
Odoo Google APIs Monday.com Slack Twilio Vapi
Business outcome
Connected systems, fewer copy-paste steps, cleaner reporting, and more consistent operations.
Nguyen Quoc Khang is a DevOps Engineer and AI Automation Builder based in Ho Chi Minh City, Vietnam. He builds cloud infrastructure, CI/CD pipelines, monitoring systems, backup workflows, n8n automations, controlled AI agent runtimes, and business system integrations.
What AI and ERP projects are you working on now?
I am building GLX-AI for sales teams to query internal documents through Telegram, with source references and document-access checks. I am also developing an Odoo ERP with an integrated AI chatbot and model visibility and access based on each user's permission level. The Odoo project is in development.
Which AI agent tools are you familiar with?
I am familiar with OpenClaw, Hermes Agent, Hermes A2A, Hermes Kanban, LangChain, LangGraph and Langfuse. My published OpenClaw case is a reference architecture and the Hermes runtime case is an engineering lab. Knowledge of a tool does not imply it is part of every project; each case study states its own scope and stack.
How can we scope a business automation project?
Share the workflow your team wants to improve, the tools and data involved, the people who will use it, and any access or approval requirements. We can use that context to agree a useful first scope, validation steps and operating responsibilities before discussing an implementation plan.