This post will guide you through three methods for changing the owner of a Power Apps app. You’ll need to gather the following information: Environment ID from the Power Apps maker portal, App ID from the Power Apps maker portal, User Account Object ID from Azure Active Directory.
Cloud & AI Solution Architect · Sydney
Hi, I'm Hannah.
Cloud & AI Solution Architect with seven-plus years designing secure, scalable, AI-enabled systems. I architect end-to-end engagements across Microsoft AI Foundry, Power Platform, Databricks, and Microsoft Fabric — from discovery workshops and PoCs through to production deployments.
Resilience Long-term vision Positivity — NEVER GIVE UP.
What I architect
From discovery workshops to production deployments — across the Microsoft & AWS data & AI stack.
01
Agentic AI Systems
Multi-agent orchestration, retrieval-augmented assistants, and Copilot-style workflows. Designing privacy-compliant hybrid architectures with Azure AI Foundry, OpenAI, and integration layers like Twilio, Snowflake, and the Power Platform.
02
MLOps & ML Pipelines
End-to-end ML systems on Databricks with MLflow and dbx — feature engineering, deep learning training, experiment tracking, model registry, and scalable inference endpoints serving real-time predictions.
03
Power Platform Delivery
Power Apps, Power Automate, Dataverse, Power BI, and Power Portal — digitising paper-and-email processes into governed, scalable workflows. Solution-architect-level design aligned to CAF and WAF principles.
04
Azure & Databricks Platforms
Azure (Synapse, Data Lake, Data Factory, Logic Apps, AI Foundry) for the enterprise data & AI backbone. Databricks for lakehouse, MLOps, and scalable ML pipelines — PySpark, MLflow, dbx, and Databricks SQL. End-to-end ingestion, modelling, governance, and serving.
Latest Articles
Architecture patterns, ML notes, Power Platform debugging, and the small lessons in between.
LC998 - Maximum Binary Tree II
Datastructure and Algorithm: DAY 91. Leetcode: 288/2752
LC654 - Maximum Binary Tree
Datastructure and Algorithm: DAY 91. Leetcode: 287/2752
7+
Years in cloud & AI
10+
Industry certifications
2
Peer-reviewed papers
1st
Innovation Award 2024
Certifications
Microsoft Solution Architect Expert · AWS Specialty · Databricks · Google AI.
Microsoft
- Expert Power Platform Solution Architect
- Associate Azure AI Engineer
- Associate Azure Data Scientist
- Associate Power BI Data Analyst
- Associate Power Platform Developer
Databricks
- Associate ML Practitioner
- Associate Data Engineer
- Fundamentals Lakehouse
AWS & Others
- Specialty AWS Data Analytics
- Leader Google AI
- Certified Scrum Master
About me
I'm a Cloud & AI Solution Architect based in Sydney, designing AI-enabled enterprise systems end-to-end. I run discovery workshops, scope PoCs, write SOWs, and ship production solutions — translating fuzzy business problems into architectures that actually work on Monday morning.
My research roots run deep: a PhD in AI in time series prediction and deep learning, with peer-reviewed work in cellular traffic forecasting and biomedical video stabilisation. That background shapes how I design — measure first, evaluate continuously, and keep an honest paper trail.
I write here mostly to think out loud — architecture decisions, AI learning notes, Power Platform gotchas, and the small lessons that took an afternoon to learn and deserve to be written down once.
What I believe
01
Architecture serves outcomes
The simplest design that meets CAF/WAF and ships on time beats the elegant one that doesn't.
02
AI is still engineering
Foundation models need eval harnesses, observability, and guardrails. The model isn't the system.
03
Document the decisions
If a stakeholder needs three explanations, write the ADR. Future-you and future-them will thank you.
04
From PoC to prod on Monday
A PoC that can't survive its first real Monday isn't a PoC — it's a slide.
Let's design something that ships.
Always open to a conversation about AI architecture, Power Platform delivery, or Databricks solutions.