Currently shifting my focus towards data engineering and AI automations — building pipelines, orchestrating agents, and figuring out how to make data actually useful at scale.
My background is in data science and ML, but I've realised I enjoy the infrastructure side just as much as the modelling. Right now I'm deep in the Microsoft Fabric + Azure ecosystem, exploring how AI agents can plug into real data workflows — not just as demos, but as things that actually run.
- 🔧 Getting serious about data pipelines, Medallion Architecture, and real-time streaming
- 🤖 Exploring AI automations — multi-agent systems, LLM-powered workflows, Azure OpenAI
- 📐 Currently building on Microsoft Fabric · Azure · PySpark · Delta Lake
- 🌱 Learning in public — expect rough edges, experiments, and occasional pivots
- 📍 Based in Melbourne, studying Data Science @ Deakin University
Data Engineering Medallion Architecture · PySpark ETL · Delta Lake
Real-time streaming · Microsoft Fabric · Lakehouse design
AI Automations Multi-agent orchestration · Azure OpenAI · RAG pipelines
LLM tool use · Automated workflows · Microsoft Agent Framework
Foundations dbt · SQL performance · data modelling · pipeline observability
Cloud & Platforms Microsoft Fabric · Azure OpenAI · GCP · Firebase
Data & Processing PySpark · Delta Lake · Power BI · SQL · R Shiny
ML / AI TensorFlow · PyTorch · RAG · Multi-Agent · NLP
Languages Python · R · Dart · JavaScript
Mobile Flutter · Google Play
Other Docker · Git · API Development
Projects from my data science background — shifting lens towards the engineering and automation side going forward.
| Project | What it does | Stack |
|---|---|---|
| Fitness Coaching AI Platform | 6-agent coaching system with 40 custom tools, concurrent multi-agent workflows | Azure OpenAI · Agent Framework · Python |
| HyperScale Retail Command Center | Real-time retail analytics with Medallion Architecture, 30-day demand forecasting | MS Fabric · PySpark · Power BI |
| Advanced HR Analytics | Real-time attrition, pay equity and workforce insights | R Shiny · Plotly · ML |
| Bank Loan Performance | $435.8M portfolio monitored across three dashboard tiers | Power BI · DAX |
| Liver Cirrhosis Prediction | Multiclass SVC predicting patient outcomes from clinical data | Python · SVC |
| C-Meds: AI Medication Reminder | AI prescription scanner, live on Google Play | Flutter · Firebase |
