Journey
How I got here
Chemical engineering to AI architecture, by way of six companies and a lot of data. None of it was planned — each step just made the next one make sense.
Education
2013-2017
National University of Singapore
Bachelor of Engineering (Chemical Engineering)
Foundation in engineering principles, analytical thinking, and problem solving.
2019-2022
Georgia Institute of Technology
Master of Science (Computer Science)
Advanced studies in machine learning, AI systems, and distributed computing — completed while working full-time.
Career
Microsoft
Lead Data & AI Architect — ASEAN Innovation Hub
Singapore
Lead Data & AI Architect for ASEAN. Architecting AI solutions across 7 technology areas for enterprises spanning 9 countries, and running an internal program that scaled agentic AI skills to 70+ colleagues across 4 cohorts.
- ▸ Designed solutions spanning 7 technology areas
- ▸ Worked across 9 countries in ASEAN and beyond
- ▸ Built and led an internal agentic-AI enablement program (70+ people, 4 cohorts)
- ▸ Trusted CTO advisor to top enterprise customers in Southeast Asia
- ▸ Delivered production-grade GenAI and ML solutions across telecoms, finance, and energy
Amazon Web Services
Senior Solutions Architect
Singapore
First appointed Specialist Solutions Architect for Communications Services in APJC. 4x'd revenue through AI/ML-driven sales. Presented at AWS Re:Invent, AI Conclave, and Innovate events.
- ▸ First Specialist SA for Communications in APJC
- ▸ 4x revenue growth via AI/ML solution-driven sales
- ▸ Drove $5M+ net ARR (vs typical $10-50K workloads)
- ▸ Presented at AWS Re:Invent, AI Conclave, Innovate
- ▸ Mentored 8 early-career SAs — cut onboarding from 3 months to 1.5
- ▸ Built SMS fraud detection system using ML
- ▸ Pioneered GenAI for content creation and moderation
Appier
Presales Manager
Singapore
Led presales across Indonesia, Thailand, and Vietnam for marketing automation and customer data AI platforms. Managed a team of 4, driving 100-200% target achievement.
- ▸ Led presales division across 3 countries
- ▸ Team surpassed targets by 100-200% in Q2 and Q3
- ▸ Managed 4 presales engineers across ASEAN
- ▸ 20% improvement in proposal win rates
- ▸ C-level partnerships in FMCG, Retail, and Telecom
Salesforce
Solution Engineer
Singapore
Pioneered AI-fueled business transformations using Salesforce Einstein Analytics, contributing to a 128% increase in deal closures. Distinguished as 1 of 285 globally recognized Trailhead All-Star Rangers.
- ▸ 128% increase in deal closures through AI-driven discovery
- ▸ 76% boost in deal progression speed with custom demos
- ▸ Subject matter expert for Einstein Analytics (Tableau Analytics)
- ▸ 1 of 285 globally recognized Trailhead All-Star Rangers (2022)
- ▸ C-suite relationships across FMCG, Retail, and Telecom
NTUC Link
Data Scientist
Singapore
Led AI-enhanced marketing strategies and predictive analytics, driving a 34% increase in customer retention through data-driven campaigns.
- ▸ 34% increase in customer retention via ML-driven marketing
- ▸ 22% improvement in churn prediction accuracy
- ▸ Built comprehensive data warehouse and BI framework
- ▸ Product owner for data analytics tools
Facts Global Energy
Data Analyst
Singapore
Built market intelligence databases and predictive models for East of Suez energy markets, improving week-on-week prediction accuracy by 26%.
- ▸ Short-term East of Suez Market Analysis
- ▸ Market intelligence databases using SQL and Tableau
- ▸ Expert coverage across Thailand, Vietnam, and Japan markets
The thread
Look closely and it's the same job the whole way down: find the data, ask it a better question, and turn the answer into something a business can act on. The title changed and the scope grew. The work didn't.