Xian Yang Wong
Technical Director / Architect
More than a decade across software engineering and architecture, including line management, technical governance and hands-on implementation. I lead solution design, set engineering standards and manage technical risk across cloud, integration and AI initiatives.
Melbourne, Australia
Selected work
Selected examples spanning AI application development, engineering tools, data orchestration, a public platform and cloud infrastructure.
Hands-on work within the AI Capabilities team on a Rust and Tauri desktop application using AWS Bedrock for meeting assistance and feedback.
Designed and led a developer tool that reviews code changes inside VS Code. The built version uses model-based analysis, confidence filtering and comment deduplication while retaining human review.
As Solution Architect and Tech Lead, designed the orchestration architecture for a custom customer data platform and led the technical work across Python, Apache Airflow and GCP Cloud Composer.
Led technical delivery across the front end, Java back end and containerised development workflow for Sydney Airport’s public website.
Designed and implemented repeatable Azure infrastructure in Terraform. My own agent-assisted workflow reduced the design and setup work to about 25% of the original estimate.
Agentic delivery system
I designed a specification-driven workflow that keeps approved intent separate from production code. Agents draft and analyse; people steer, review and approve.
Autonomy dial
There is no “just trust the model” setting.
Each story begins with scope, acceptance criteria and a risk-based level that sets the evidence required.
Role-specific agents draft the specification, close material gaps, propose the technical approach and break it into tasks.
Read-only analysis tests the requirements, plan and tasks for drift before cross-functional review.
Implementation starts after review. Contract, security, accessibility and test gates protect the agreed intent.
Drafting, consistency analysis, task breakdown and implementation against approved specifications.
Scope, trade-offs, architecture decisions, verification and merge approval.
Technical leadership
Translate business goals into technical options, assumptions, trade-offs, estimates and an implementation plan people can review.
My default Put the trade-off on the page
Set standards for architecture, code quality, release planning and documentation. Mentor engineers and step in when a team needs a technical escalation point.
My default Automate what does not need judgement
Keep security, integration and operational risk visible from discovery through implementation, and remain close enough to the work to test important decisions.
My default Keep people accountable for the call
Career
Credera, Omnicom
Lead solution design for enterprise digital, cloud, integration and AI initiatives, including agentic engineering workflows for architecture, documentation and implementation.
Clemenger BBDO, Omnicom
Managed four direct reports, set engineering standards and led estimation and technical risk across web, cloud, AI/data workflow and integration work.
CHEP Network, Omnicom
Designed and led enterprise web, ecommerce, customer data and integration work while contributing across the stack.
IE Digital
Built digital products for Bupa, Australia Post, Frank Green and the University of Melbourne, from requirements through release.
X Marketing; Charles Elena Design
Designed and built websites, campaign assets and other digital work from client brief through launch.
Capabilities
Agentic design and development workflows, RAG and LLM orchestration. Hands-on work with Python, Node.js, LangChain, LangGraph, LiteLLM, Langflow and AWS Bedrock.
Line management, mentoring, technical escalation, estimation and risk management. Engineering standards across architecture review, code quality, release planning and documentation.
Solution, platform, cloud and integration architecture. Technical discovery, implementation planning, APIs, microservices, middleware and data orchestration.
AWS, Azure, Terraform, serverless systems, Apache Airflow and GCP Cloud Composer. Python, TypeScript, Node.js, Java and Spring Boot, React and PHP.
Writing
Three pieces on developer accountability, enterprise knowledge and measuring the return on AI investment.
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