About Me
I’m a software engineer with a Bachelor of Engineering (Honours) in Software Engineering from UNSW Sydney. I design and deliver cloud-native products end-to-end, running workloads on AWS (Lambda, ECS, S3) provisioned with Terraform and deployed through GitHub Actions CI/CD pipelines. I have also led hands-on LLM fine-tuning experience for UNSW’s AI Conversational Simulation Project.
Contact me at: Zzn021 Zeneng Zhao or email
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UNSW, Bachelor of Engineering (Hons)
Feb. 2021 - May. 2025 -
All Saints Anglican School
2017 - 2020ATAR: 95.7
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AI Conversation Simulation
Research Thesis Project
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Researched and benchmarked AI conversation models to elevate user engagement inside a virtual-reality setting.
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Built an immersive VR demo that marries ChatGPT with Unity, scripting the experience in C#.
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Curated and pre-processed a custom dialogue dataset to fine-tune the model, improving response coherence and user engagement.
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Data Analytics and Event Intelligence Application
Delivery Manager
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Designed a modular, scalable service architecture that makes new features easy to integrate and deploy across multiple platforms.
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Turned business and technical requirements into clear development tasks, uncovering system-level improvements along the way.
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Built and managed real-time and batch data pipelines, delivering accurate, up-to-the-minute data for analytics and decision-making.
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Introduced Infrastructure-as-Code, automating cloud setup and maintenance to ensure consistent environments and eliminate manual errors.
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E-Invoicing Application
Team learder
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Designed and built a full-stack invoicing application with Python and React.
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Ran the project in Agile sprints with Jira, breaking work into small, trackable deliverables and keeping the team on schedule and on spec.
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Served as both Team Lead and Product Owner, steering the product from concept through AWS deployment and coordinating development, testing, and DevOps efforts.
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Short-listed for the SENG2021 Macquarie Prize.
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Oriental Electronic, China
Dec. 2024 - Mar 2025Intern
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Automated multi-node log analysis with Python scripts, extracting key performance metrics and generating visual timelines that reduced incident-diagnosis time by 30 %.
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Optimized SQL queries and data-model logic for internal monitoring dashboards, improving real-time metric accuracy and usability for operations and support teams.
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Reviewed and tested system-module code across design and diagnostics teams; identified redundant patterns, validated edge cases, and documented findings on git to support cleaner releases and smoother cross-team collaboration.
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Airport Services, China Southern Airlines, Sydney
Feb. 2024 - Apr 2024Intern
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Analyzed flight-delay datasets in Python, uncovering patterns that informed strategies to reduce disruptions and improve the passenger experience.
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Expanded responsibilities to include tech-focused tasks, using specialized software to manage customer complaints and track real-time airport operations.
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The Australian Computational and Linguistics Olympiad
2020Gold Award
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Programming Languages
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Databases
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Frontend
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Frameworks
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Project Management
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Other Tools
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English: ●●●●●
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Chinese: ●●●●●
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