Professional Background
My background is primarily in operations, service delivery, organisational change, and regional leadership — primarily in the technology and professional services sectors, with more recent work at the intersection of sustainability and emerging industries. I spent more than a decade at Microsoft, including as Sr Group Manager for Operations Deal Management across Australia, APAC, and India — working closely with Sales Leadership on fiscal close, deal construct, and field-to-operations alignment across markets.
I then joined Infosys in a leadership role supporting Microsoft's enterprise customer operations environment — leading the transition of onsite operations from Accenture to Infosys and building a global team of 50 across Bangalore, Dublin, Singapore, and the Americas. That experience deepened my appreciation for the realities of transformation work — especially in environments where processes, delivery expectations, organisational structures, and teams are all evolving at the same time.
Alongside this, my work has increasingly expanded into sustainability, facilitation, and capability-building.
What connects these experiences is not an industry or a job title. It is the recurring problem of helping people and organisations actually move through change — not plan it, not model it, but do it.
Why This Platform Exists
I started experimenting seriously with AI tools in March 2026. Coming from a non-technical background, the experience was uncomfortable more often than I expected. And more energising than I had predicted.
What interested me most was not just the technology itself, but what happened when these tools met real operational work: messy processes, unclear communication, competing priorities, organisational habits, and human behaviour.
TiP became a place to document that learning process openly. Not to present conclusions. To document the process — including the parts that don't resolve cleanly.
What I'm Exploring
Right now, most of my curiosity sits around a few overlapping areas:
AI in practice — how AI tools behave in real operational environments, where workflows, communication, decision-making, and organisational complexity rarely resemble controlled demonstrations.
Facilitation and capability-building — how organisations build confidence and practical understanding around change, especially when the tools are changing faster than the organisations using them.
Career transition and reinvention — how experienced professionals adapt, reposition themselves, and rediscover value in environments increasingly shaped by AI and changing expectations of work.
Sustainability and systems thinking — particularly the intersection between sustainability, operations, capability-building, and long-term organisational transition.
