Chua Wei Cheng.init()
$ whoami --verbose
>> Power Platform and Dynamics 365 CRM Developer with 4 years of experience delivering enterprise applications across Dynamics 365 CRM, Model-Driven Apps, Dataverse, Power Automate, Power Pages, SharePoint integration, Power BI support, JavaScript, C# plugins, testing, functional analysis, and cloud-integrated delivery. Currently supporting PwC government-sector Dynamics 365 modernisation, Power Platform PoC prototyping, CRM migration testing, Excel-based UAT validation, AWS SES/EventBridge email-sending setup, and an on-premises Dynamics 365 CRM v8.2 to v9.1 upgrade with re-hosting to AWS infrastructure.
// #01: WORK_HISTORY.json
Microsoft CRM Developer @PwC
• Performed functional analysis for Power Platform PoCs by clarifying early-stage business ideas and translating them into Model-Driven App, Dataverse, and Power Automate prototypes for stakeholder showcase and feasibility validation • Supported a government CRM migration project by working directly with users to clarify expected behaviours, prepare Excel-based test scripts and test plans, support UAT, conduct user walkthroughs, and validate outcomes across Dynamics 365 and SharePoint document-management flows • Contributed to the upgrade of an on-premises government Dynamics 365 CRM platform from v8.2 to v9.1 across 4 applications, supporting compatibility validation across JavaScript customisations, C# plugins, workflows, configuration, and deployment components • Supported the re-hosting of the on-premises Dynamics 365 CRM environment from existing on-prem infrastructure to AWS-hosted infrastructure; worked on remediation and testing across JavaScript customisations, plugin assemblies, and custom workflows • Supported AWS SES and EventBridge setup for Dynamics 365 email sending, helping validate outbound email delivery flows, event notifications, and delivery/bounce monitoring considerations
Power Platform Developer @Rio Tinto
• Developed and maintained enterprise SaaS Power Platform solutions using Dynamics 365 / Dataverse v9.1 and v9.2, supporting sales, bidding, customer visit, and complaint management workflows • Built model-driven apps for mineral bidding processes using Dataverse tables, forms, views, business rules, JavaScript customisations, C# plugins, and Power Automate workflows • Designed and enhanced Power Pages frontend experiences for internal and external users, improving usability for bidder-facing and operational workflows • Delivered Dynamics 365 Sales and Customer Service enhancements covering customer visit tracking, market intelligence capture, lead identification, case creation, issue tracking, compensation handling, and approval processes • Maintained and edited Power BI reports and dashboards to support operational reporting, data visibility, and continuous improvement of business workflows • Maintained Selenium-based end-to-end test automation and contributed to peer review, release validation, and controlled deployment practices
// #02: TECH_STACK.yaml
System Metrics
// #03: FEATURED_PROJECTS
Government D365 CRM Upgrade
Upgrade of an on-premises government Dynamics 365 CRM from v8.2 to v9.1 across 4 applications, with re-hosting to AWS infrastructure, remediation and compatibility testing.
Mineral Bidding Platform
Complete Power Platform solution replacing email-based bidding with automated workflows, custom portals, and real-time bid tracking.
Sales Visit Tracking System
Dynamics 365 Sales solution for field sales teams to log visits, capture market intelligence, and manage lead conversion pipeline.
Complaint Management System
End-to-end customer service solution with automated case routing, SLA tracking, compensation workflows, and approval hierarchies.
Manufacturing Data Platform
AMS Sensor Singapore internship (Test Engineer, Aug–Dec 2020): designed a data model for 6 products, storing 5,000+ CSV files in MySQL with Python, reducing manual analysis effort by ~80%.
Epilepsy Data Science & AI
Processed epilepsy occurrence datasets with machine learning models including transfer learning, regression, decision tree, logistic regression, and support vector machine.