Hello.
I'm Tri Nguyen.
I build operating systems for my own work.
I design AI systems for enterprises across Asia-Pacific — and I stay in the room until they actually work, not just until the demo lands.
The work spans seven technology areas and customers in nine countries: fraud and compliance models, enterprise copilots, and multi-agent systems that have to hold up once real people and real data hit them.
I started in chemical engineering, found my way into data science at NTUC Link, then solution engineering at Salesforce, presales leadership at Appier, and cloud AI at AWS. These days I'm a Lead Data & AI Architect at Microsoft's ASEAN Innovation Hub.
Countries
Solution Areas
Years in Tech
Certifications
What I Work With
Systems Lab
My workbench is agentic, not manual.
I'm building my own operating system for getting things done: hand it a half-formed goal, it breaks the work into pieces an agent can finish, produces something real, and remembers the context so the next run doesn't start from scratch.
Capture
Turn ideas, asks, and messy context into durable intake.
Decompose
Break big goals into scoped subtasks that specialist agents can own.
Verify
Require concrete artifacts, checks, and human approval where it matters.
Remember
Save reusable context so future runs start ahead, not from zero.
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