I direct the strategic technical vision and delivery excellence for some of the most complex enterprise transformations across APAC and beyond — partnering with C-level executives, boards, and transformation teams to architect and govern next-generation AI and cloud platforms.
Architecting generative AI ecosystems and agentic AI at enterprise scale — designed to be governed, secure, and trusted from day one.
Read more → 02Building the responsible-AI frameworks and guardrails that let boards and regulators say yes to AI at scale.
Read more → 03Holding delivery to a uniformly high bar — secure-by-design, observable by default, automated, and measured. The platform discipline that turns ambitious AI roadmaps into production reality.
Read more → 04Partnering directly with C-level leaders and transformation teams to set technical vision and hold delivery to the highest bar.
Read more →I lead the architects and engineers who turn the AI frontier into enterprise reality.
The work isn't only technical. It's translating ambition into platforms that are secure, resilient, and accountable — and building the world-class, diverse teams that can deliver them at the highest levels of customer impact.
Accelerated time-to-innovation, with AI moved safely from pilot to production.
Strengthened security postures across cloud and AI estates.
Platforms built to stay reliable under enterprise-scale load and scrutiny.
Cost optimization that holds up as platforms grow.
New business and revenue models unlocked by AI and cloud.
World-class, diverse teams capable of sustaining all of the above.
I shipped a governance framework for AI agents, then failed its own adoption test — no uninstall, no way to list its skills, no way to know if it had drifted. Here's the sprint that fixed it, and the four patterns you can steal whether or not you ever touch my repo.
Read →My 3D AI office lied to me, and the afternoon I lost to it taught me more about governing agents than any amount of infrastructure did. Part II of the AI OS deep dive: telling a dashboard from a trigger, a leash on autonomy you can actually verify, and giving memory tiers.
Read →A technical deep dive into the always-on agent stack that runs my work: a Hermes kernel on my Mac, a Paperclip workforce on a VPS, one Obsidian vault as shared memory, MCP as the syscall layer — and a Tailscale mesh holding two machines together with no open ports.
Read →A two-part session for UNSW students. First hour: an industry view of agentic AI, with Microsoft case examples, Responsible AI principles, and the tooling I use for proof-of-concept work. Second hour: live mentoring on student project ideas.
Mid-program feedback session. Reviewing student progress, unblocking technical decisions, and sharpening the path to the final showcase.
The capstone presentations — students share what they built, the design decisions behind it, and the lessons they took from the program.
I'm Regional CTO and Director of the Azure Cloud + AI Architecture practice at Microsoft Services, leading high-caliber architects, engineers, and cross-functional partners across APAC and beyond.
I'm an avid reader and a lifelong student of both technology and the financial industry. Away from the keyboard, I tinker in the open — including copilot-agents-dojo and copilot-cowork-dojo, small open-source projects on making AI coding agents behave with the discipline of senior engineers and collaborate as a team.
Always architecting the future — and deeply grateful for the teams and customers who make it possible.