About Robert
Overview
Robert Sloan is a Data & AI professional with 6+ years of experience delivering production solutions on cloud platforms. Based in Australia, specializing in end-to-end data platforms, terabyte-scale pipelines, and low-latency event-driven systems.
Bachelor of Science in Computer Science (AI Major) from UNSW. Experience spans startup agility and enterprise rigor, including security, compliance, and governance.
Contact
Professional Experience
ANZ Bank — Senior Software/Data Engineer
– · Melbourne
- Prototyped agentic LangGraph web navigator for reference datasets
- Designed dbt pipelines processing terabytes of transaction data on BigQuery
- Built real-time Dataflow pipelines converting Kafka Avro to Pub/Sub JSON
- Implemented column-level policy tagging for PII compliance
- Developed Go gRPC APIs and proto specifications
- Enhanced CI/CD and configured automated security scanning
- Won 2023 GenAI Hackathon — live voice system drafting GitHub Issues from meetings
Metigy — Data/ML Engineer
– · Sydney
- Created first ML models using SageMaker (deep RNN for metrics forecasting)
- Configured Snowflake data warehouse and pipelines for ML datasets and BI
- Designed recommendation system and API
- Architected queued serverless infrastructure for scalable data collection
- Instantiated Redis caching layer to minimize API calls
- Supported growth from 20 to 75 staff with end-to-end data architecture
Technical Expertise
Programming Languages
| Language | Use Cases |
|---|---|
| Go | High-performance gRPC APIs, microservices, concurrent systems |
| Python | Machine learning, data pipelines, scientific computing |
| TypeScript / Node.js | Full-stack development, microservices, SDK development |
| SQL | PostgreSQL, MySQL, BigQuery, advanced query optimization |
Cloud & Infrastructure
Google Cloud Platform
BigQuery, Dataflow, Pub/Sub, Compute Engine, Cloud Functions
Amazon Web Services
SageMaker, Lambda, S3, serverless architecture
Kubernetes
Container orchestration, cloud-native architectures
Docker
Containerization, multi-stage builds, optimization
Terraform
Infrastructure as Code, cloud resource management
Data Engineering & Streaming
Apache Kafka
Event streaming, Avro schemas, real-time data processing
Google Dataflow
Stream processing, batch processing pipelines
dbt
Data transformation, pipeline orchestration, data modeling
Snowflake & BigQuery
Data warehousing, analytics, terabyte-scale queries
Pub/Sub & Redis
Message queuing, caching, event-driven architectures
Machine Learning & AI
AWS SageMaker
Model training, deployment, ML pipelines
TensorFlow & PyTorch
Deep learning, RNN, neural network development
LangGraph & LLMs
Agentic AI systems, prompt engineering, workflow orchestration
Computer Vision
Image processing, pattern recognition
Recommendation Systems
ML-powered personalization
DevOps & Security
CI/CD
Automated testing, deployment pipelines, GitOps
Security Scanning
Vulnerability detection, automated patching
Compliance & Governance
PII protection, policy enforcement, data classification
Monitoring
Performance tracking, observability, incident response
Featured Projects
GenAI Meeting Assistant
2023 ANZ Hackathon Winner
A live voice system that listens to meetings, identifies action items, and automatically drafts them as GitHub Issues in near real-time.
Key Features
- Real-time speech recognition and processing
- Natural language understanding for task extraction
- GitHub API integration for automated issue creation
- Production-ready GenAI application architecture
Automatic Crack Opening Displacement Measurement
UNSW Research Project · 2018
Single term research project completed with Ekaterina Tsypkaikina and Lancelot Chen. Developed an image processing solution to automate Crack Opening Displacement (COD) measurement for determining material properties, replacing time-consuming manual measurement.
Technical Highlights
- Computer vision algorithms for crack detection
- Preprocessing techniques for image binarization
- Automated COD calculation from processed images
- Software development for materials science applications
Asia-Pacific Future Wearable Collaboration
UNSW International Project · 2017
Led a team of 24 designers, artists and engineers through Hong Kong, Shenzhen, Guangzhou and Beijing to prototype conceptual wearable technologies. Collaborated with Tsinghua University,Hong Kong City University, Hong Kong Polytechnic University, Seeed Studio and The Woolmark Company.
Contributions
- Designed transformable garment with shifting thermochromic patterns
- Implemented wireless charging technology for everyday use
- Multi-functional design to challenge fast-fashion industry
- Team leadership and international collaboration
- Sustainable fashion through adaptive, reusable garments
Education
Bachelor of Science (Computer Science)
University of New South Wales (UNSW) · 2017–2019
Program Details
- Major: Artificial Intelligence
- High Distinction in Neural Networks and Deep Learning
- Completed Machine Learning, Computer Vision and Artificial Intelligence courses
- New Colombo Scholarship to travel throughout Hong Kong and China
- Completed one semester abroad at McGill University, Montreal
Academic Achievements
- New Colombo Scholarship recipient
- International exchange at McGill University
- Research project in computer vision and image processing
- Leadership in Asia-Pacific wearable technology collaboration