Summary

PROFILE

Software engineer with 7+ years across backend development, full stack delivery and DevOps, in regulated financial services, legal

technology and Australian government platforms. Most recently at Nasdaq on an exchange-regulated trade surveillance platform running

across Americas, EMEA and APAC, building in Java 17 and Spring Boot while owning the CI/CD pipelines and production Kubernetes the

wider engineering team depended on. Comfortable across the whole stack and the infrastructure beneath it, and used to being the

person called when something breaks in production.

CORE CAPABILITIES

• Backend development – Java 11 and 17 with Spring Boot, REST APIs secured through OAuth2, and microservices integrating internal

and third-party systems. Application-level request filtering and validation controls built under market regulation, plus Python services

and a data ingestion and reporting pipeline architected end to end.

• Full stack delivery – Led design and build of a Java and Spring Boot backend with a React and Redux front end at Safe Transport Victoria,

from data model through to production support – 40% reduction in support tickets. React, Redux, Angular and TypeScript across several

roles, with continuous peer review of pull requests.

• DevOps, CI/CD and cloud infrastructure – Owned the Jenkins pipelines and GitLab CI/CD projects the wider engineering team released

through. Production Kubernetes across AWS EKS and self-managed clusters spanning three regions, on EC2 with images in ECR and

artefacts in S3, with Helm charts and Puppet roles and profiles for declarative, version-controlled configuration.

• Production support and incident ownership – Regional point of contact and escalation owner across Americas, EMEA and APAC. Led

the root-cause analysis when a regional cluster went down under live impact, traced it from the service layer through routing to a DNS

resolution failure, restored service and documented the fix as a runbook.

• Observability and monitoring – Prometheus, Grafana, Loki with Promtail, Thanos and Splunk across production environments – metrics,

log aggregation, dashboards and alerting, built and tuned rather than inherited.

• Performance and data integrity – Asynchronous concurrent processing roughly 50% faster at high data volumes; centralised storage for

roughly 30% faster retrieval; automated data integrity reconciliation logging failed items with retrieval queries attached, cutting triage

from hours to minutes.

• Automation and internal tooling – Automated a manual cross-environment parameter migration that had bottlenecked every release,

and delivered a self-service platform that removed a standing developer interrupt load outright.

• AI shipped into production – Built an LLM-backed internal assistant at Nuix over product and competitor material that cut preparation

time by roughly 40%, and put a TensorFlow and Keras model into production. Uses AI-assisted development tooling daily.

TECHNICAL SKILLS

Languages Java 11/17 · Python · TypeScript/JavaScript · SQL · Groovy · Bash/Shell · HTML and CSS

Backend & APIs Spring Boot · Spring Framework · microservices · REST API design · OAuth2 · event-driven and scheduled processing · third-

party integration

Frontend React · Redux · Angular · component architecture · responsive interfaces · front-end migration

Cloud & Containers AWS EC2, EKS, ECR and S3 · Kubernetes · Docker · Helm · Puppet · Linux · NGINX · CoreDNS and DNS · multi-region

operation

CI/CD & Tooling Jenkins · GitLab CI/CD · Git · container image build and packaging · release validation and rollback · infrastructure as code ·

environment promotion

Observability Prometheus · Grafana · Splunk · Loki · Promtail · Thanos · metrics, logging and alerting · runbooks

Data Oracle · MySQL · MongoDB · SQL · relational and document modelling · schema and parameter migration · data integrity reconciliation

Quality & Ways of Working JUnit · Mockito · Selenium · Groovy regression suites · peer code review · secure coding under regulation · two-

week Agile sprints · Jira and Confluence

PROFESSIONAL EXPERIENCE

Senior Analyst, Software Engineering – Trade Surveillance | Nasdaq Sydney · Nov 2025 – Jul 2026

• Backend engineering on a regulated platform – Java 17 application-level request filtering and validation controls; secure-coding

practice under market regulation.

• CI/CD and release ownership – Built and maintained Jenkins pipelines and GitLab projects used across the team; container base image

builds publishing to AWS ECR; validated migrations, debugged failed pipelines and documented test evidence against every ticket.

• Production support and root-cause analysis – Led RCA on a regional cluster outage, traced it to DNS resolution, restored service via the

CoreDNS node routing path, and documented the fix as a runbook. Regional point of contact for escalations.• Cloud and container operations – Kubernetes across Americas, EMEA and APAC; Puppet node provisioning; Helm configuration per

environment; automated a cross-environment parameter migration that had bottlenecked every release. Received a 2% bonus at

approximately three months.

Software Engineer, Full Stack | Nuix Sydney · Feb 2025 – Aug 2025

• Performance through concurrency – Reworked multi-report export as asynchronous concurrent processing – roughly 50% faster at high

data volumes.

• Data integrity automation – Automated integrity reconciliation logging failed items with retrieval queries attached – triage cut from

hours to minutes.

• Storage, dependencies and internal AI tooling – Centralised export storage for roughly 30% faster retrieval with duplicates eliminated;

legacy dependency modernisation for compatibility and vulnerability remediation; LLM-backed internal assistant cutting meeting

preparation by roughly 40%. Peer-reviewed Java and React pull requests in two-week sprints.

Software Engineer | Safe Transport Victoria Melbourne · Aug 2022 – Jun 2024

• Business application delivered end to end – Led design and build of a Java/Spring Boot microservice backend with React/Redux front

end letting non-technical staff manage and de-duplicate their own records – 40% reduction in support tickets.

• Automated regression coverage – Groovy test suite across existing Java services and new features – 30% reduction in post-deployment

defects.

• Integration across legacy and modern systems – Driver record correction spanning both estates, automated fee scheduling driven by

entitlement rules, geolocation API integration for address validation, legacy Java platform migration, and a consolidated service desk

with Jira rolled out organisation-wide.

Software Engineer, Machine Learning | Trendy Development Hong Kong · Feb 2021 – Jan 2022

• Data pipeline and reporting – Architected the data ingestion and self-service reporting pipeline end to end in Python;

TensorFlow/Keras model in production; front-end migration from React to Angular.

Software Engineer, Ecommerce | Vel Spices Melbourne · Apr 2018 – Jan 2021

• Built and operated a commercial platform end to end on AWS – Storefront, payments, third-party API integration and relational data

design, as the sole engineer.

EDUCATION & CREDENTIALS

Bachelor of Computer Science – RMIT University, Melbourne, 2024

Education

July 2019, August 2024 Bachelor of Science Computer Science at RMIT

SKills