AWS Certified
Cloud engineer Software builder
I make complex systems easier to trust.
I'm working across backend platforms, DevOps, reliability, architecture, and applied machine learning. Currently a Cloud Engineer at BT Group.
A systems view
I work where software meets infrastructure: backend services, cloud platforms, delivery systems, and the decisions that keep them maintainable.
I currently work as a Cloud Engineer at BT Group. Before that, I contributed across startups and established teams in Malaysia, Singapore, the UAE, Hong Kong, Kazakhstan and the US. An MBA complements my software engineering background with a commercial view of delivery.
Broad enough to see the whole delivery path, focused enough to work deep in the details.
Building and supporting the service layer, from application logic and data access to containerised delivery.
Working across cloud platforms and delivery practices with reliability, repeatability, and operability in view.
Taking web products from interface through integration, with enough range to collaborate across the full stack.
Exploring production-minded machine learning through freelance work and focused side projects.
Verified knowledge
AWS Certified
AWS Certified
AWS Certified
Oracle Cloud Infrastructure
Microsoft Certified
Roles are shown by most recent end date. Several projects overlapped as contract and freelance engagements.
Oct 2025 to present
Current role
Aug 2020 to Oct 2025
Malaysia
Apr 2025 to Sep 2025
Hong Kong
Aug 2024 to Dec 2024
United States
Jul 2024 to Aug 2024
Malaysia
Aug 2023 to May 2024
United Arab Emirates
Jan 2024 to Mar 2024
Kazakhstan
Aug 2022 to Dec 2022
Tavern DAO
Singapore
Postgraduate
De Montfort University
Business
Undergraduate
Staffordshire University
Engineering
Foundation
Asia Pacific University
Computing
Some projects I’ve worked on, from cloud security and document workflows to the products people use every day.
Testing the boundaries of AI retrieval on AWS. A local security console that checks access between identities and packages the evidence for review.
An engineering alpha focused on retrieval-boundary verification, with manual AWS release validation still pending.


A native iOS expense tracker built in Swift. Capture Apple Pay purchases through Shortcuts, keep a local spending ledger, and explore budgets and insights.
Built for iPhone and iPad. The companion React website supplies these app captures, which use fictional purchases and budgets.
Healthcare workflows
Evidence-first referral operations
A referral workspace connecting administrative PDFs, source-linked field review, and FHIR records. Human approval stays part of the workflow, with an audit trail behind each step.
A synthetic-data reference implementation using deterministic extraction fixtures.
A customs and brokerage workspace that turns shipping documents into structured declaration workflows, with AI-assisted extraction, duty calculations, and DagangNet submission tracking.
A React and Flask application with an AWS Lambda API, S3 storage, and an ECS/SQS document-processing worker.
An insurance operations platform bringing clients, quotes, policies, endorsements, claims, and certificates into one workspace. Built for day-to-day agency workflows and reporting.
A production application backed by Django REST Framework, with AWS ECS, RDS, S3, and CloudFront infrastructure managed through Terraform.
An administration workspace for managing clients, loan applications, and lenders. Track submissions, collect documents through expiring upload links, and keep notes alongside each deal.
A React and Django REST application with PostgreSQL, AWS storage and GuardDuty integration, and infrastructure defined in OpenTofu.
Have a role or project in mind?
I’m always interested in thoughtful engineering conversations across cloud, backend systems, DevOps, architecture, and applied ML.