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ENGINEERING JOURNEY

Projects demonstrating my progression from software development and systems integration toward cloud infrastructure and operations.

Rather than presenting my experience as a list of unrelated technologies, these projects show how each stage of my engineering experience contributed to the next.

01
Software Applications & APIs
02
Integration Middleware & Hardware
03
Infrastructure Servers & Networking
04
Cloud AWS Architecture
05
Operations Monitoring & Reliability
AMI Water Meter Middleware Architecture
System Architecture AMI Middleware
PROJECT 01 / SOFTWARE ENGINEERING
Software & Middleware

AMI Water Meter Middleware

Developed middleware service for JBALB and KWB smart water meter that responsible for processing AMI water meter data and integrating field meter information with downstream application systems.

What this taught me Reliable backend services, data processing, API integration, database interaction and handling real-world system communication.
C# .NET REST API MySQL Middleware SAINS JBALB-AMI KWB-AMI
PROJECT 02 / SYSTEMS INTEGRATION
Hardware & Middleware

RFID Gantry Service

Built a middleware service for UPUSTAKA all across malaysia library that connecting RFID readers and gantry hardware with application systems for automated tag processing and operational workflows.

Engineering progression This project extended my software experience into hardware communication, device handling, retries, tag processing and service reliability.
C# Python RFID Hardware REST API Middleware SAINS UPUSTAKA
RFID Gantry Service Architecture
System Architecture RFID Gantry
Visitor Counter Service Architecture
Data Integration Visitor Counter
PROJECT 03 / API INTEGRATION
Data Integration

Visitor Counter Service

Developed a service for UPUSTAKA that retrieves visitor-counting information from an external API, processes extraction intervals and prepares the data for downstream reporting systems.

Engineering progression Strengthened my understanding of scheduled services, external APIs, data transformation and operational processing.
C# .NET REST API Data Processing Scheduling SAINS UPUSTAKA
PROJECT 04 / INFRASTRUCTURE
Self-Hosted Infrastructure

TrueNAS & Nextcloud

Built and operated a self-hosted storage environment using TrueNAS and Nextcloud, with external access managed through Cloudflare.

Engineering progression Moved beyond application code into storage, Linux services, networking, DNS, reverse proxying, security and infrastructure operations.
TrueNAS Nextcloud Cloudflare Linux DNS Networking
Open Truenas Server Platform → Open Nextcloud Platform →
TrueNAS Nextcloud Cloudflare Architecture
Infrastructure Architecture Self Hosted
Apjoe Portfolio Website AWS Architecture
AWS Web Architecture Portfolio Website
PROJECT 05 / CLOUD ENGINEERING
AWS Web Infrastructure

Apjoe Portfolio Website

Designed and deployed this portfolio as a real cloud-hosted application, using AWS services together with Cloudflare for domain and DNS management.

Architecture focus Static frontend delivery, HTTPS, DNS, CDN, cloud hosting, API integration and operational monitoring.
Cloudflare AWS S3 CloudFront EC2 ALB RDS
Apjoe.com website →
PROJECT 06 / CLOUD OPERATIONS
AWS Cloud Infrastructure & Operations

Apjoe Cloud Operations Platform

My primary cloud engineering project: a production-style AWS environment combining Cloudflare, Application Load Balancer, EC2, RDS, CloudWatch, API Gateway, Lambda and Cost Explorer.

The next stage This project represents the transition from building applications to operating infrastructure — monitoring resources, exposing operational metrics, automating tasks, investigating health and understanding cloud cost.
AWS Cloudflare ALB EC2 RDS CloudWatch API Gateway Lambda Cost Explorer
Open Cloud Operations Platform →
Apjoe Cloud Operations Platform Architecture
Production Architecture AWS Operations
THE BIGGER PICTURE

From writing code to operating systems.

My projects show a continuous progression: building software, integrating systems, working with infrastructure, deploying applications to AWS and finally building operational visibility around the environment. The goal is not simply to know AWS services, but to understand how applications, infrastructure and operations work together.