Data, Software & AI Systems LeaderMalaysia based, regional operating experience

I build decision and automation systems across data, software, and AI.

I build decision and automation systems across data, software, and AI. My work combines business intelligence, data engineering, full-stack product delivery, agentic workflows, analytics governance, and team operating models. I help organizations turn ambiguous problems into trusted data foundations, usable internal products, and repeatable decision loops.

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Impact

Proof across the four pillars of my work.

The consistent pattern across my roles is turning unclear business problems into decision interfaces, data foundations, AI-native workflows, and operating models that teams can keep using.

80%

Decision interfaces

Reduced manual reporting effort by converting repeated business questions into governed dashboards and operating views.

50%

Decision speed

Reshaped reporting structures so teams could move from data request to business action faster.

2026

AI-native workflows

Current work includes multi-model AI workflows, coding agents, model CLIs, MCP, and agentic delivery patterns.

7

0-to-1 leadership

Built and coached BI, analytics, and data teams while staying close enough to design the actual systems.

34+

System range

Worked across software, data engineering, BI platforms, automation, cloud data, and AI-enabled products.

0 -> 1

Functions and foundations

Established BI foundations, data structures, dashboards, transformation patterns, and operating models from ambiguity.

Operating range

Four layers, one operating system.

My work is strongest when BI, software, data engineering, AI, and leadership are not treated as separate lanes. The value is in combining them into systems that teams can understand, maintain, and use.

Traits that show up in the work

Stakeholder ManagementLeadershipStrategic ThinkingProblem SolvingCross-functional CollaborationData StorytellingChange ManagementTeam Mentoring & DevelopmentProject ManagementBusiness Acumen

AI-native workflows

Design multi-model workflows using Claude, ChatGPT, Gemini, Qwen, coding agents, CLIs, APIs, and human-in-the-loop controls.

AI agents, agentic architecture, model CLIs, MCP, workflow automation

Software and product systems

Turn vague product ideas into usable applications, internal tools, prototypes, and working interfaces.

React, Next.js, Node.js, APIs, product thinking

Data and system foundations

Build pipelines, structures, governance, and quality practices that make analytics trustworthy.

SQL, Python, BigQuery, Airflow, dbt, data modeling

Decision interfaces

Move teams beyond static reporting into clear metrics, ownership, narratives, and action loops.

BI, dashboards, KPI standards, data storytelling

Operating models

Create the team structure, rituals, documentation, and accountability needed for systems to survive handoff.

governance, stakeholder alignment, team coaching

Technical translation

Bridge leadership, business teams, engineers, analysts, and product builders without losing the point of the work.

requirements, architecture, delivery, adoption

Decision interface design

Dashboards are useful only when they change the next decision.

I design dashboards as operating tools: metric definitions, context, movement, ownership, and the next action made visible in one place.

80%
reporting effort reduced
50%
faster decision cycles
5+
functions served

Experience depth by capability

A compact example of dashboard-as-narrative, not decoration.

Live profile data
Full-Stack
Full-Stack: 15 years, depth 8 out of 10.
15 yrs
SQL
SQL: 15 years, depth 9 out of 10.
15 yrs
Analytics
Analytics: 13 years, depth 9 out of 10.
13 yrs
BI (BI)
BI (BI): 9 years, depth 9 out of 10.
9 yrs
Data Eng.
Data Eng.: 9 years, depth 8 out of 10.
9 yrs
Data Strategy & Product Thinking
Data Strategy & Product Thinking: 9 years, depth 9 out of 10.
9 yrs
Python
Python: 9 years, depth 9 out of 10.
9 yrs

Tools and architectures I use to create operating leverage

ChatGPT / OpenAIClaudeGeminiQwenMulti-Model AI WorkflowsAI AgentsAgentic ArchitectureAgentic CLI WorkflowsAI Coding AgentsAI Workflow AutomationLLM & AI IntegrationPrompt EngineeringOpenAI APIClaude APIGemini APIModel Context Protocol (MCP)LangChainFull-Stack DevelopmentReact/Next.jsNode.jsPythonSQLData Engineering & PipelinesGoogle BigQueryApache AirflowBusiness Intelligence (BI)Analytics & ReportingData Strategy & Product ThinkingLookerTableauPower BI

Leadership

Building people is part of building the system.

My leadership approach is operational: clarify ownership, create cadence, improve judgment, and leave behind systems that keep working without constant escalation.

👥

Turn ambiguity into ownership

I help teams convert vague business needs into clear problems, owners, definitions, operating rhythms, and delivery paths.

🚀

Design for handoff

I build documentation, rituals, reusable patterns, and decision rules so teams can operate without depending on one person.

🌟

Connect business and engineering

I translate leadership intent into analytical, technical, and product work without losing the business reason behind the system.

🎯

Harden useful ideas

I use exploration to find value, then turn the parts that matter into governed workflows, reusable components, and operating systems.

“The goal is not to own every answer. The goal is to build systems, teams, and decision habits that make better answers easier to produce.”

Outcomes I optimize for

Teams that can operate with clearer ownership and less escalation

Decision interfaces that combine metric definitions, context, and action loops

Reusable data and workflow patterns that survive beyond the first implementation

AI adoption that improves actual work instead of becoming isolated tool experimentation

Selected builds

Builds that make the operating range visible.

These are evidence of how I turn unclear problems into usable products, data workflows, AI-enabled systems, and publishing infrastructure.

Guidely – AI Coaching Platform

completed

Designed and built a full-stack AI coaching system with multi-agent reasoning, structured task workflows, and vendor-aware LLM integration. This demonstrates how I convert an ambiguous human problem into a working AI product with software, data, and workflow design.

Apr 2025

Build stack

React Native WebMulti-LLM APIs (OpenAI, Gemini)LangChainPostgreSQLVercelPrompt Engineering

Operating signal

  • Multi-agent reasoning architecture with structured task flows
  • Cross-platform product delivery using AI-assisted development
  • Vendor-aware LLM abstraction across OpenAI and Gemini

StaySmarter – Short-Stay Price Comparison Tool

completed

Built a travel-tech web application that collects, compares, and operationalizes regional short-stay accommodation prices. This demonstrates product thinking, automated data collection, and decision-interface design beyond internal BI.

Mar 2025 - Apr 2025

Build stack

ReactNode.jsMulti-LLM APIs (OpenAI, Gemini)Web ScrapingPostgreSQLPrompt Engineering

Operating signal

  • Rapid product prototyping from unclear market problem
  • Automated data collection and comparison workflow
  • Decision interface for price discovery and market visibility

Interactive Resume – AI-Enhanced Development Showcase

completed

Built this personal platform as a structured publishing, resume, and credibility system with article pages, JSON-LD, SEO/AEO/GEO foundations, and a generated PDF resume. This demonstrates how I use AI-assisted development to build real software artifacts, not only prototypes.

May 2025

Build stack

Next.jsTypeScriptTailwind CSSFramer MotionAI-Assisted DevelopmentPrompt Engineering

Operating signal

  • AI-assisted delivery of a multi-page Next.js platform
  • Structured content model for articles, resume data, and generated PDF assets
  • SEO/AEO/GEO foundations with article pages, sitemap, robots, and JSON-LD

Interested in collaborating or learning more about these projects?

WhatsApp MeEmail Me

Writing

Writing that turns experience into a point of view.

Practical essays on decision interfaces, AI readiness, workflow design, analytics governance, and the judgment needed to turn ambiguous problems into working systems.

AI Readiness9 minPublished

The Two-Tier BI Architecture: From AI Exploration to Operational Apps

Why permanent dashboards and recurring AI prompts both fail, and how enterprises can separate exploratory analytics from governed analytical products.

AI Readiness9 minDrafting

AI Adoption Is a Workflow Problem, Not a Tool Rollout

Why giving teams access to ChatGPT, Claude, Gemini, or Qwen is not the same as redesigning how work actually moves.

AI Readiness9 minDrafting

Where AI Agents Actually Belong in Analytics Work

A practical view of where AI agents help analytics teams, where they create risk, and which logic still needs human ownership.

Systems Thinking9 minDrafting

The Modern Analyst Is Becoming a Product Builder

Why strong analytics teams increasingly build internal products, workflows, interfaces, and automations instead of only answering questions.

Leadership9 minDrafting

From Reporting Team to Business Operating System

How analytics teams can move beyond request queues and become part of the way the business actually operates.

View all writing

Resume detail

A career built around turning unclear systems into usable ones.

The progression moves from software engineering into data engineering, product analytics, BI leadership, and AI readiness. The through-line is still the same: understand the operating problem, then build the system around it.

Oct 2025 - Present

Senior BI & Analytics Manager

BigCaring Group
Current role

Scope

  • Established the BI function from the ground up, transforming a zero-BI environment into a structured decision and analytics capability
  • Spearheaded alignment with Data Engineering to define shared processes, goals, and engineering mindset, bridging the gap between data infrastructure and business analytics
  • Built the analytics team structure from scratch, fostering a culture of curiosity and engineering rigor to ensure long-term scalability
  • Introduced multi-model AI workflows using Claude, ChatGPT, Gemini, Qwen, AI coding agents, and CLI-based agentic capabilities to improve analysis, documentation, automation, software delivery, and operating leverage

Proof

  • Established company's first BI function and data strategy
  • Aligned Data Engineering and Analytics processes for scalable growth
  • Expanded AI adoption beyond chat tools into practical agentic workflows across BI, analytics, and software delivery
BI Function
0 to 1 Setup
Team Structure
Established

Stack

PythonSQLLookerdbtChatGPT / OpenAIClaudeGeminiQwenAI Agents
Mar 2023 - Mar 2025

Senior Marketing Analytics Manager

PropertyGuru Group

Scope

  • Developed comprehensive marketing dashboards and analytics infrastructure previously lacking in the organization
  • Automated regional marketing reports to optimize campaign and budget decisions
  • Introduced analytical storytelling and narrative-driven insights to support marketing strategy
  • Standardized multi-market KPI definitions to align performance metrics across SEA

Proof

  • Built marketing analytics capability from ground up with comprehensive dashboard suite
  • Reduced manual reporting time by 80% through automation
  • Transformed marketing decision-making through data storytelling and actionable insights
Reporting Efficiency
80% reduction
Marketing Analytics
Built from scratch

Stack

PythonSQLPower BIGoogle AnalyticsLooker
Nov 2022 - Feb 2023

Business Intelligence Lead

Homage

Scope

  • Redesigned internal reporting structure to support faster decision cycles
  • Delivered dashboards across Sales, Finance, and Marketing
  • Acted as strategic translator between leadership and engineering
  • Led and managed a team of 2 BI analysts and data engineers

Proof

  • Accelerated decision-making cycles by 50%
  • Implemented unified reporting across all departments
Decision Speed
50% faster
Departments Served
3 core functions

Stack

TableauSQLPythonAWS
Jul 2021 - Oct 2022

Product & Marketing Analytics Manager

PropertyGuru Group

Scope

  • Managed data integration and standardization during company acquisition period
  • Introduced consistent data structures across different acquired companies
  • Led transition from Tableau to Looker for enhanced analytics capabilities
  • Led and managed a team of 3 data engineers and analysts

Proof

  • Successfully unified data structures from multiple acquired companies
  • Established consistent reporting standards across the organization
  • Migrated analytics infrastructure to Looker platform
Companies Integrated
Multiple acquisitions
Data Standardization
Unified structure
Platform Migration
Tableau to Looker

Stack

PythonSQLGCPGoogle BigQueryLookerApache AirflowSalesforceNetSuite
Feb 2020 - Jul 2021

Lead Data Engineer

REA Group Asia

Scope

  • Built and deployed dashboards using Google Data Studio (Looker Studio) and Tableau for multiple departments
  • Collaborated with Marketing, Sales, Finance, FP&A, and Product teams to understand reporting needs
  • Automated manual data processes and transformed them into streamlined data workflows
  • Designed and built an internal dbt-like transformation framework on top of Apache Airflow in 2020, before dbt-style analytics engineering became common practice

Proof

  • Transformed sales team operations to be data-driven with comprehensive dashboard suite
  • Enabled data-oriented decision making across sales processes and strategy
  • Built a custom Airflow-based transformation system that gave the team reusable, governed, and automated data workflows before modern transformation tooling became mainstream
Departments Served
5+ business units
Transformation Layer
dbt-like system before dbt was mainstream
ETL Ownership
Moved in-house from vendor dependency

Stack

PythonSQLGCPGoogle BigQueryGoogle Data StudioTableauApache AirflowSalesforceNetSuite
May 2016 - Jan 2020

Senior Data Engineer

REA Group Asia

Scope

  • Built data infrastructure and analytics platform from ground up for the company
  • Established data pipelines and reporting systems where none existed previously
  • Implemented multi-stack solutions to support diverse analytics requirements

Proof

  • Created the company's first comprehensive data infrastructure
  • Enabled data-driven decision making across the organization
Pipeline Reliability
99.9% uptime
Analytics Infrastructure
Built from scratch

Stack

PythonNode.jsRSQLGCPGoogle BigQueryGoogle Analytics
Dec 2013 - Apr 2016

Senior Software Engineer

Manulife Technology & Services

Scope

  • Restructured codebases and enforced engineering standards
  • Introduced scalable technologies for long-term maintainability

Proof

  • Improved code quality and maintainability
  • Reduced technical debt by 60%
Technical Debt
60% reduction

Stack

C#ASP.NETJavaScriptSQL Server
Dec 2009 - Aug 2013

Developer

Visual Solutions (M) Sdn Bhd

Scope

  • Built backend systems and integrated internal/external APIs
  • Delivered reusable enterprise components

Stack

C#ASP.NETJavaScriptSQL Server