| 2024 | DataOps Platform Built and owns 25+ ETL pipelines on-prem; eliminated recurring data failures and made the platform production-critical for BI and ML teams. deep dive coming | Wētā FX | Python · Airflow · ClickHouse · Ansible |
| 2024 | Apache Airflow OSS Contributions Contributed production-informed fixes and enhancements to Airflow operators and platform stability, improving reliability and usability for wider community adoption. deep dive coming | Apache Airflow Community | Python · Open Source · Apache Airflow |
| 2024 | Data Quality & Observability System Designed platform-wide quality framework from scratch; moved the team from reactive firefighting to proactive anomaly detection. deep dive coming | Wētā FX | Great Expectations · Python · GitLab CI |
| 2024 | Resource Planning & Crew Scheduling Tool Built the first in-house capacity planning tool for managing and optimising crew workload scheduling across the studio. deep dive coming | Wētā FX | Python · ReactJS · PostgreSQL |
| 2023 | RTO Compliance Analytics Delivered real-time dashboards enabling Talent & Culture to track Return to Office policy implementation and measure organisational compliance. deep dive coming | Wētā FX | Python · SQL · Tableau |
| 2023 | ETL Cloud Migration (Docker → OpenShift) Migrated 8 production pipelines from Docker-compose to OpenShift with zero downtime; improved observability via Dynatrace and dbt-elementary. deep dive coming | MBIE | Airflow · DBT · OpenShift · Azure Pipelines |
| 2022 | Modern DataOps Platform Design Architected a comprehensive platform design covering observability, data catalog, lineage, governance, and strategy — forming the foundation for future data work. deep dive coming | MBIE | Airflow · DBT · Dynatrace |
| 2022 | AWS ECS Data Platform Stood up a containerised data tooling environment (Retool, N8N, Airflow) on AWS ECS; gave analysts self-service access to data for the first time. deep dive coming | IHC New Zealand | AWS CloudFormation · Docker · Airflow |
| 2022 | Enterprise ETL Pipeline Suite (→ Snowflake) Built 9 Snowflake pipelines from 5 source systems; powered 33 Power BI reports used org-wide for workforce and financial analytics. deep dive coming | IHC New Zealand | Airflow · DBT · Snowflake · Python |
| 2021 | User Provisioning Automation Automated ServiceNow/Payglobal → Azure AD user provisioning via Airflow; eliminated manual IT overhead and onboarding errors. deep dive coming | IHC New Zealand | Python · Airflow · Snowflake · Azure AD |
| 2021 | Kubernetes MLOps Platform Co-built the organisation's first ML infrastructure on EKS with Kubeflow; made model deployment a repeatable, automated operation. deep dive coming | Chorus NZ | Kubernetes · Kubeflow · AWS EKS |
| 2020 | Oracle DW → AWS Redshift Migration Designed and built a replication system migrating the legacy Oracle DW to AWS Redshift via PySpark; unblocked cloud-native analytics adoption. deep dive coming | Chorus NZ | Python · PySpark · Airflow · Redshift |
| 2020 | Financial Data Analytics System Built an internal financial analytics system integrating SAP Hana data; delivered Tableau dashboards for the finance team. deep dive coming | Chorus NZ | Python · SAP Hana · Tableau |
| 2019 | Azure National Data Platform Co-built a high-profile national-scale Azure analytics platform for a government agency; deployed for ongoing operations across the country. deep dive coming | KPMG NZ | Azure · NodeJS · SQL |
| 2019 | Suspicious Transaction & Geo-Location Analysis Delivered transaction monitoring and geo-location analysis systems across four government and private sector clients. deep dive coming | KPMG NZ | Python · R · SQL |
| 2019 | CEC 2019 Conference Website Built the IEEE Congress on Evolutionary Computation 2019 website and managed four social media channels for international conference publicity. deep dive coming | Victoria University | Bootstrap · HTML · CSS · JavaScript |
| 2018 | AI 2018 Conference Website Developed the full conference website for the 31st Australasian Joint Conference on Artificial Intelligence. deep dive coming | Victoria University | Bootstrap · HTML · CSS · JavaScript |
| 2018 | Reinforcement Learning Systems (15+) Implemented 15+ novel deep RL systems (100k+ lines) as the core research contribution of a PhD in Machine Learning. deep dive coming | Victoria University | Python · TensorFlow · PyTorch · Theano |
| 2017 | CNN Ensemble Image Classification System Built a deep learning ensemble for image classification published as a conference paper in evolutionary computation. deep dive coming | Victoria University | Python · TensorFlow · Keras · Scikit-Learn |
| 2014 | Decentralised Network Traffic Monitoring System Led a team to build a real-time decentralised monitoring system (150k+ lines) still in use at Unitec; contributed to a $10.6M MBIE-funded cyber-security project. deep dive coming | Unitec | Java · JADE · Unity3D · MySQL |
| 2013 | Financial Forecast Systems (Stock & Crude Oil) Implemented stock market and crude oil price trend prediction systems using neural network approaches in MATLAB. deep dive coming | Unitec | MATLAB |