REGULATORY AI ✦ RAG ✦ MCP ✦ AGENTIC WORKFLOWS ✦ EVALS ✦ KAFKA ✦ KUBERNETES ✦ VECTOR DBS ✦ CLAUDE ✦ 60 REGIONS ✦ 95% ACCURACY ✦
REGULATORY AI ✦ RAG ✦ MCP ✦ AGENTIC WORKFLOWS ✦ EVALS ✦ KAFKA ✦ KUBERNETES ✦ VECTOR DBS ✦ CLAUDE ✦ 60 REGIONS ✦ 95% ACCURACY ✦
01 / PROFILE
From senior engineer to owning AI and data across the company in under three years.
I make teams faster — moving a ~50-person company's daily work onto AI in three
months, and shipping AI products to global markets.
Fourteen years of engineering across regulatory intelligence, decentralised identity,
fintech and healthcare.
14+
years of engineering — junior dev to Head of AI & Data
7
companies founded, led or shipped at — across four industries
3
months to move a ~50-person company's daily work onto AI
5
teams transformed — customer success, regulatory experts, sales, engineering, marketing
~80%
of engineering code AI-written, after upskilling the whole team
15K
monthly users on a product designed, built and shipped solo
02 / JOURNEY
Junior dev → founder →
Head of AI & Data
2012 — NOW · EACH CHAPTER SCROLLS SIDEWAYS ↓
01
TNO Systems
Junior Developer
2012–2013
Origin story
First engineering role
Front-end features for an enterprise ERP. Translated client business requirements
into technical specs and ran onboarding training for client users.
Founder mode
Self-taught, shipped everything
Taught myself PHP, native Android and iOS. Designed, built and deployed the whole
product on AWS — 15,000 monthly active users at peak.
Hustle
Analytics & angels
Ran usage analytics to steer the feature roadmap, and pitched multiple angel
investors at Tech in Asia Speed Dating.
03
TBop (Netrust)
Full Stack Developer
2015–2019
Modernisation
Legacy CRM → microservices
Led three engineers revamping a legacy Java CRM for micro-finance into a
customisable, scalable NodeJS microservice with improved UI/UX.
Offline-first
Built for no connectivity
Rebuilt the mobile app (Ionic / Angular) with offline support for rural areas
with no connectivity — vastly better performance and UX.
Foresight
Credit scoring + blockchain R&D
Credit-scoring analytics predicting default rates so micro-finance companies could
forecast cash flow. Ran R&D on blockchain for the industry.
04
Validus Capital
Data Engineer
2019–2020
Trust & safety
Fraud detection framework
Python framework running the in-house fraud detection algorithm over
multi-source data, plus a microservice validating and landing data in the lake.
Analytics
Knowing the customer
Designed metrics segmenting key customer profiles and funnels — surfacing
optimisation opportunities across the business.
Scale
Mobile + backend revamp
Co-led the team revamping the cross-platform app and NodeJS microservices for
scale and modularity; integrated the backend with Salesforce.
05
Health Promotion Board (via Activate Interactive)
Application Consultant
2020–2021
National scale
Covid infrastructure for Singapore
Scalable TypeScript microservices for national Covid test scheduling and
vaccination — sharing sensitive health information safely across institutes.
Medical-grade SaaS
Data sharing on verifiable credentials
Led architecture and delivery of a multi-tenant SaaS for medical data sharing
on W3C Verifiable Credentials and HL7 FHIR — extended with a client mobile app.
Security
A wallet for health data
Architected a secure digital wallet for W3C medical credentials, with a security
protocol aligned to Singapore's medical data-handling standards.
Cross-border
Covid verification, per government
A widget verifying Covid certificates against country rules — grown into a
serverless SaaS with per-government workflows, async OCR on Lambda + EventBridge.
Leadership
Libraries and teams
Created the TypeScript encryption library used company-wide, and led both in-house
and offshore engineering teams across these deliveries.
Public launch
AI label review, launched globally
Led development of RegASK's AI-assisted label review — cutting reviews from
weeks of manual checks to under 10 minutes at ~95% accuracy across 16 markets.
Stepping up
Inherited the flagship platform
Took ownership of RegGenius after the Head of AI departed — stabilised delivery,
then modernised it into an enterprise-grade real-time AI platform.
Transformation
AI-native in three months
Pitched and led the company-wide transformation — full Claude adoption and
automated workflows across all five business functions.
Governance
Evals gate every release
Established production AI governance — release gates for accuracy, consistency,
expert agreement, latency, cost and retrieval quality.
Data foundation
One vocabulary, 60 regions
Unified the enterprise data foundation — taxonomy standardisation across millions
of documents, unlocking cross-product intelligence.
Leadership
Building the AI organisation
Lead 4 AI engineers, convert the wider org to AI-native practices, own the AI
budget, and partner with executives on strategy and capability building.
03 / IMPACT
Transform the company.
Move the industry.
FLAGSHIP · PUBLICLY LAUNCHED
AI-assisted label review, live across global markets
Checks product labels against F&B regulations across 16 markets — plus cosmetics in Taiwan.
Requirements gathered from regulatory experts, results validated against them.
DAYS–WEEKS
→
<10 min @ 95% accuracy
USEUUK
FRCHCA
NZCNJP
HKTWSG
VNTHID
MY
Read the launch announcement ↗
REGGENIUS
Stabilised, then modernised the flagship
Took ownership of RegGenius after the previous Head of AI departed — stabilised delivery while
defining its long-term direction, then modernised it into a scalable, enterprise-grade AI
platform: real-time knowledge ingestion, optimised RAG, MCP services and production guardrails.
GOVERNANCE
Nothing ships without evidence
Established the company's production AI governance and evaluation framework — release gates
covering accuracy, consistency, expert agreement, latency, cost and retrieval quality — built on
strategic relationships with regulatory experts, so enterprise customers can trust what ships.
04 / ARSENAL
The stack.
AI & ML
ClaudeAzure OpenAIGemini
Voyage AIRAGMCP
Agentic workflowsLangChain
LLM evalsVector DBs
Azure AI FoundryVertex AI
Data
Data pipelinesTaxonomy & harmonisation
PostgreSQLMongoDBCosmosDB
DynamoDBAnalytics
Backend
PythonFastAPITypeScript
NestJSKafkaEvent-driven
MicroservicesC#
Frontend
ReactJSNext.jsAngular
VueJSReact NativeFlutter
Cloud & Platform
AzureAWSKubernetes
DockerServerlessCI/CD
IaC
Leadership
AI transformationTeam building
Technical strategyMentoring
Budget ownershipCross-functional