Discovery Pod
Clarifies the business problem, current workflow, available data, and the smallest useful first release.
About
Who we are
ePipe Cloud is an Australia-based data, automation, and AI delivery team for small businesses that need practical systems without enterprise overhead.
We work with local owners and operators who want clearer reporting, smoother workflows, better asset visibility, and useful internal tools.
Our role is to help define the business problem, build the right first release, and support the team after launch so the system improves with real use.
How our team is structured
Our team is structured around practical delivery rather than job titles alone. Each project brings together the right mix of solution leadership, data and application build capability, and post-launch support.
For small businesses, this matters because a useful system is not finished when the first version goes live. It needs clear scoping, careful build work, user training, and ongoing improvement once real staff start using it.
How our delivery pods work
A typical ePipe Cloud project includes three responsibilities: someone to understand the business problem, someone to design and build the system, and someone to support the client after launch.
This keeps projects practical for small teams. You know who is helping define the work, who is building it, and who will help your team adopt and improve it after go-live.
Build Pod
Designs and delivers dashboards, internal tools, automations, and data workflows.
Launch & Support Pod
Helps users adopt the system, handles training and support, and turns feedback into practical improvements.
Leadership
Solution leadership keeps each engagement focused on the business problem, the right first release, and the delivery standards needed for a system that can keep working after launch.
Alex MacIntyre
Director of AI & Technology Strategy
Alex leads AI strategy, technical discovery, and solution design for clients who need practical systems rather than vague AI experiments. He helps business owners and operators understand what should be automated, what should stay simple, and what a realistic first release should look like.
His work focuses on AI roadmaps, cloud architecture, governance-aware delivery, and turning technical options into clear business decisions.
Skills: AI strategy, solution design, cloud architecture, governance, technical discovery
William Norman-Ryder
Chief Technology Officer
Will leads ePipe Cloud's technical architecture and delivery standards. He helps shape scalable systems, data workflows, and application designs that are practical for small teams to operate after launch.
His background spans statistics, data engineering, applied machine learning, and engineering leadership across financial and healthcare technology environments.
Skills: Technical architecture, data engineering, applied machine learning, platform design, delivery standards
Core Delivery Team
The core delivery team turns scoped problems into working data flows, dashboards, internal tools, and application experiences.
Alvin Tan
Senior Data Engineer
Alvin supports scalable data pipeline architecture, modern ELT workflows, and performance optimisation for reporting and analytics systems.
He helps turn scattered operational data into reliable models and workflows that small teams can use with confidence.
Skills: dbt, ELT pipelines, CDC, Python, Azure Data Factory
Keran Chen
Senior Data Application Developer
Keran builds data-driven applications, dashboards, and AI-enabled services that connect analytics with operational workflows.
Her work helps teams move from static reports to usable internal tools and practical user-facing systems.
Skills: SQL, JavaScript, dashboards, ML infrastructure, API integration
Client Success & Support
Support work matters after go-live, when real users start finding the small issues and improvements that make a system genuinely useful.
Rex Meng
Client Success & Support Specialist
Rex Meng helps clients get value from systems after they go live. His work focuses on onboarding, training, support, feedback collection, and practical improvements that make dashboards, tools, and workflows easier for small teams to use.
Because Rex has a technical background in data integration and APIs, he can translate client feedback into clear fixes and improvement tasks for the delivery team.
Skills: Client support, user training, post-launch improvement, feedback triage, systems adoption
Emerging Product Builders
Emerging builders support practical product and application work under the guidance of the delivery team.
Sihan Zhu
Application & Product Builder Associate
Sihan Zhu is a Computer Science student focused on building data-driven applications and cloud-based systems. At ePipe Cloud, he contributes to real estate data dashboards and internal tools that turn market data into actionable insights.
He works on end-to-end solutions combining frontend development, data processing, and cloud deployment. In parallel, he is developing a cross-platform mobile application using Flutter, focusing on user-centric design and scalable system integration.
Skills: Data-driven application, frontend development, flutter, cloud deployment,system design