Generative AI,
delivered at enterprise scale.
AI & Analytics Lead · Solution Architect · Data Engineer · Generative AI Engineer · Brisbane, Australia.
Two decades of building data & AI.
Rob is a seasoned AI and Data Engineer, Solution Architect, and People Leader with over two decades of experience driving data and AI innovations across various industries, spanning two continents.
His expertise spans data engineering, cloud computing, DevOps, and AI-driven decision systems, enabling organizations to leverage data for strategic advantage. With a deep understanding of AWS and Azure ecosystems, he specializes in architecting scalable data solutions, implementing machine learning models, and optimizing cloud data infrastructures.
As a certified AWS Solutions Architect, Azure Data Engineer, and Microsoft Power Platform Consultant, Rob has led the design and deployment of enterprise-grade data architectures, integrating AI and real-time analytics into business processes.
His leadership extends beyond technology, he is a proven team builder, mentor, and advocate for best practices in data governance, security, and agile development. He has successfully managed cross-functional teams, facilitated solution architecture workshops, and driven innovation in cloud-based data engineering and automation. Rob has played a key role in high-impact AI initiatives, including developing a Generative AI-based Claims Research Assistant presented at AWS Sydney Summit 2024 and AWS Innovate.
With a passion for solving complex data challenges and leading high-performing teams, Rob brings a unique blend of technical excellence and strategic vision, making him an invaluable asset in any AI-driven enterprise. Please get in contact with me, using my LinkedIn profile.
AI and Automation Projects
Generative Marketing Platform
Enterprise GenAI platform producing campaign creative using Google Imagen and Veo.
Metrics-as-a-Platform — AI for BI
Chat-based natural-language analytics over enterprise relational data, custom-built in React with Anthropic Claude as the LLM.
Customer Incident Management Insights
AI-derived insights on customer incidents and complaints, surfaced through an interactive Power BI dashboard.
AssureAI — GenAI Governance Agent
GenAI agent that assesses AI use cases against TLC's AI and Automation Governance Framework and classifies them into risk categories.
Roadside Assistance Knowledge Base Agent
Copilot Studio knowledge-base agent for RACQ Roadside Assistance, surfacing answers from SharePoint resources directly inside Microsoft Teams.
Insurance Complaints Knowledge Base Agent
Natural-language Q&A agent over an AWS Redshift complaints dataset, routed through API Gateway and Bedrock from a Copilot Studio front end.
Roles & impact.
- Developed and deployed a Customer Incident Management (CIM) solution that automatically analyses and categorises customer complaint incidents using Generative AI. The solution also derives monthly insights and produces an executive summary highlighting key trends and themes requiring attention. The end‑to‑end process is fully automated using Power BI, Power Automate, and AI Hub (Prompt Builder).
- Currently under development, the Generative Marketing Platform (Imagen + Veo) automates image, video, and copy generation for campaigns and social media, enabling rapid creative iteration.
- Currently architecting the Metrics‑as‑a‑Platform solution, an in‑flight AI‑for‑BI capability designed to deliver natural‑language analytics over enterprise data assets.
- Supported the implementation, monitoring, and organisation‑wide rollout of Claude Code at TLC. Developed a secure best‑practice AI coding repository to guide team usage.
- Developed and deployed a AI use case risk assessment tool to evaluate potential AI applications across the business, ensuring responsible and ethical AI implementation. The tool assesses factors such as data privacy, bias, and compliance risks, providing a structured framework for decision‑making around AI initiatives.
- Assisted the TLC Data Governance team with establishing a AI Toolset page, providing developers with practical guidance on selecting and using AI tools effectively and securely. This resource has been instrumental in promoting responsible AI adoption across the organisation.
- Architected and deployed Generative AI and machine-learning decision engines for claims assessment, risk and product recommendations during web journeys.
- Delivered a GenAI‑powered solution that analyses tow‑truck footage to verify correct vehicle loading, improving process quality and supporting operator training.
- Architected and deployed a GenAI-Powered solution, which analyses call transcripts against quality criteria to provide real-time feedback and coaching to contact centre agents, improving customer interactions and service quality.
- Designed and delivered Generative AI chatbot assistants — knowledge-base and data-driven agents — using Copilot Studio and Power Automate.
- Built and operated AWS SageMaker endpoints with full model training, versioning and deployment pipelines into production.
- Designed batch and real-time data pipelines on AWS (Glue, Step Functions, Kinesis) and integration platforms (Qlik); built bespoke ETL/ELT in Python and C#.
- Implemented enterprise data catalog and lineage via DataHub.
- Automated cloud and ML deployments using CloudFormation, AWS CDK and Terraform via Bitbucket and Azure DevOps pipelines.
- Showcased the GenAI Claims Research Assistant at AWS Sydney Summit 2024 and AWS Innovate.
- Presented the GenAI Claims Research Assistant to the RACQ Senior Leadership Team, demonstrating the solution's capabilities and potential impact on claims processing efficiency and customer experience.
- Designed and delivered cloud migration and data engineering solutions across AWS (LakeFormation, Glue, S3, Redshift), Azure (Synapse, Data Factory) and Databricks.
- Automated cloud deployments using CloudFormation, SAM and Terraform via Bitbucket and GitLab pipelines.
- Built bespoke ETL/ELT solutions in Python and C# on AWS Lambda and Glue.
- Led programming, BI/reporting, server and database administration services.
- Designed and implemented integration interfaces and on-premise to AWS Redshift / SQL Server migrations.
- Led the Data Operations & Optimisation value stream, owning enterprise data governance, security (POPI, PCI/DSS, ISO 27000) and monitoring (New Relic, SolarWinds).
- Designed and led on-premise to cloud database migration programmes across SQL Server, MySQL, PostgreSQL, DynamoDB, Cosmos DB and MongoDB.
- Built and ran a multi-disciplinary team of DBAs, ETL engineers and reporting developers; mentored multiple direct reports into senior roles.
- Delivered reporting and integration platforms using SSIS, Power BI, AWS QuickSight, SSRS and bespoke API services.
- Held technical ownership of system integration, software development and project management across on-premise and cloud RDBMS (DB2, SQL Server, PostgreSQL, MySQL, MaxDB).
- Drove database performance optimisation and bespoke reporting (SSRS, Power BI).
Validated expertise.
Degrees & qualifications.
Across the stack.
Generative AI & ML
Cloud
Integration & Orchestration
Data platforms
Languages
IaC & DevOps
Leadership
On the stage.
