Software engineer, full-stack developer, data engineer
Not interested in work involving
Other information
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia
Pay expectations
Full-time
$
140000
per year
Casual / Contract
$
per hour
Pay is negotiable in exchange for equity
Pay is negotiable in exchange for equity
Pay is not negotiable in exchange for equity
Open to volunteering or working for equity only
Not interested in volunteering or working for equity only if joining as a co-founder
Referred by
•
Work experience
Proudest professional achievement
I am currently working as a Software Engineer (Full Stack) at a technology company (Apr 2025 - Present), where I focus on full-stack development of an AI-powered chatbot with Django backend (Python/PostgreSQL/Celery) and React frontend (TypeScript) to streamline council planning enquiries into detailed assessments. I developed an AI platform enabling council planners to review customer enquiries, alongside internal tooling for prompt engineers to tune prompts and LLM orchestration pipelines to continuously improve response accuracy and turnaround time. I led the delivery of multi-lingual support across the application, expanding accessibility and enabling adoption by councils serving diverse customer communities. I also owned SOC 2 and Essential Eight compliance initiatives, implementing organisation-wide SSO for third-party tools, setting device management, securing AWS infrastructure (ECS/RDS), and developing CI/CD pipelines using Vanta, AWS CDK, Docker, GitHub Actions and Rippling.
Previously, I worked as a Software Engineer (Team Lead) at an IoT technology company (Mar 2023 - Apr 2025). I was one of the founding software engineers that scaled the business from start-up to scale-up — our IoT platform using Amazon Web Services tech stack, now servicing thousands of app users and customers. I designed and developed end-to-end data pipelines to serve fleet analytics with Bash, Python and SQL on AWS IoT, Amazon SQS, AWS Lambda, Amazon Timestream and Grafana. I built a BI platform for performance testing to select final antenna design currently in mass-production utilising geoprocessing ETL functions with AWS Lambda (FastAPI) and Grafana (SQL). I was the technical lead for automation testing of mobile app and firmware in cross-functional agile team using React Native, Robot Framework, Appium, Docker and FreeRTOS. I was also responsible for release management and overseeing integration of mobile apps and firmware App Store Connect, Google Play, Expo and EAS.
Education
University of Melbourne | Master of Engineering (Biomedical) 2018-2019 Relevant coursework: Algorithms for Functional Genomics • Computational Genomics • Neural Info Processing University of Melbourne | Bachelor of Biomedicine 2015-2017 Studied abroad in Singapore (NTU) and interned at a start-up developing telepresence robots (2Mar Robotics)
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