Where I’ve worked

The organisations, roles and places that shaped how I lead technology today.

OrganisationPeriodLocationRole
SmaariXJun 2026 – presentSingaporeTechnology leader
IndependentNov 2025 – Jun 2026SingaporeAI architecture and advisory consultant
Mitsui Bussan LogisticsApr 2022 – Oct 2025Dallas, Texas · remoteData architecture, project delivery
CognizantOct 2020 – Feb 2022SingaporeAssociate director, project delivery
Rehrig PacificMar 2019 – Aug 2020Dallas, TexasProject lead / TPM
State FarmJan 2018 – Mar 2019Bloomington, IllinoisTeam lead, big data consultant
Mitsui Bussan LogisticsNov 2016 – Dec 2017Dallas–Fort WorthEnterprise solutions architect, technical manager
AppleJun 2016 – Oct 2016Sunnyvale, CaliforniaTechnical team lead
Mitsui Bussan LogisticsMay 2015 – May 2016Dallas–Fort WorthSenior project lead, delivery manager
BCS Information SystemsSep 2001 – Feb 2015SingaporeSenior developer, then development team lead, then technical lead
Apar InfotechApr 2000 – Sep 2001SingaporeWeb consultant

How the engagements worked

The work took different forms: direct employment, consulting and client-side delivery. That distinction matters when reading the timeline.

Direct employment. BCS Information Systems employed me for thirteen and a half years. Apar Infotech placed me there before I joined BCS directly, while Cognizant employed me and deployed me to its clients.

Client-side engagements. In the United States, I often worked client-side: sometimes leading my own team, more often delivering through teams.

Organisation vs employer. The organisation column shows where the work happened, which wasn’t always the organisation that employed me.

Singapore: payment systems and enterprise delivery

In Singapore, my work moved deep into financial infrastructure: MEPS+ for the Monetary Authority of Singapore and payment systems for the Central Bank of Bahrain. A Chairman’s Recognition Award for the MEPS+ work.

MEPS+ went live in 2006 after three years in which I helped build it, and I came back to it through later SWIFTNet releases and technology refreshes.

Building at scale in the United States

The work expanded into enterprise applications, data platforms, cloud architecture and integration. At State Farm, the largest programme involved ten delivery teams. I led one and carried alignment across the others and up to management, mostly through influence rather than reporting lines.

Machine learning to agentic systems

Machine learning entered my work in 2019 through a computer-vision pilot for warehouse packing, and real-time asset intelligence.

In 2025, the focus shifted to agentic systems: software that could move beyond prediction and begin to act.