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I’m Evan Liaw, a Software Engineer with hands-on experience delivering production-ready features in large-scale environments. I specialize in building reliable Python solutions, designing extensible automation interfaces, and shipping well-tested packages that integrate smoothly with real-world CI/CD pipelines. In my recent work at Autodesk Australia, I owned end-to-end delivery from architecture and RFC design through implementation, testing, and production release (including PyPI publishing with governance approvals). I also enjoy modernizing legacy systems, improving test frameworks for faster and broader coverage, reducing operational costs through smarter pipeline monitoring, and collaborating across teams in Agile delivery—while continuously learning and extending my skills in AI-ready software integrations.…I’m Evan Liaw, a Software Engineer with hands-on experience delivering production-ready features in large-scale environments. I specialize in building reliable Python solutions, designing extensible automation interfaces, and shipping well-tested packages that integrate smoothly with real-world CI/CD pipelines. In my recent work at Autodesk Australia, I owned end-to-end delivery from architecture and RFC design through implementation, testing, and production release (including PyPI publishing with governance approvals). I also enjoy modernizing legacy systems, improving test frameworks for faster and broader coverage, reducing operational costs through smarter pipeline monitoring, and collaborating across teams in Agile delivery—while continuously learning and extending my skills in AI-ready software integrations.

Evan Liaw

Software Engineer, Programmer, DevOps Developer, +2

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I’m Evan Liaw, a Software Engineer with hands-on experience delivering production-ready features in large-scale environments. I specialize in building reliable Python solutions, designing extensible automation interfaces, and shipping well-tested packages that integrate smoothly with real-world CI/CD pipelines. In my recent work at Autodesk Australia, I owned end-to-end delivery from architecture and RFC design through implementation, testing, and production release (including PyPI publishing with governance approvals). I also enjoy modernizing legacy systems, improving test frameworks for faster and broader coverage, reducing operational costs through smarter pipeline monitoring, and collaborating across teams in Agile delivery—while continuously learning and extending my skills in AI-ready software integrations.…I’m Evan Liaw, a Software Engineer with hands-on experience delivering production-ready features in large-scale environments. I specialize in building reliable Python solutions, designing extensible automation interfaces, and shipping well-tested packages that integrate smoothly with real-world CI/CD pipelines. In my recent work at Autodesk Australia, I owned end-to-end delivery from architecture and RFC design through implementation, testing, and production release (including PyPI publishing with governance approvals). I also enjoy modernizing legacy systems, improving test frameworks for faster and broader coverage, reducing operational costs through smarter pipeline monitoring, and collaborating across teams in Agile delivery—while continuously learning and extending my skills in AI-ready software integrations.

Available to hire

I’m Evan Liaw, a Software Engineer with hands-on experience delivering production-ready features in large-scale environments. I specialize in building reliable Python solutions, designing extensible automation interfaces, and shipping well-tested packages that integrate smoothly with real-world CI/CD pipelines.

In my recent work at Autodesk Australia, I owned end-to-end delivery from architecture and RFC design through implementation, testing, and production release (including PyPI publishing with governance approvals). I also enjoy modernizing legacy systems, improving test frameworks for faster and broader coverage, reducing operational costs through smarter pipeline monitoring, and collaborating across teams in Agile delivery—while continuously learning and extending my skills in AI-ready software integrations.

Skills

Experience Level

Expert

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Work Experience

Software Engineer Intern at Autodesk Australia Pty Ltd

January 1, 2025 - December 1, 2025

Owned end-to-end architecture for integrating Python into a legacy Windows automation system, including RFC authoring, implementation, and deployment. Delivered a customer-facing Moldflow Python API package released to production via PyPI after Change Control Board approval, enabling customers to automate workflows with supported Python interfaces. Migrated automation scripting from VBScript to Python using the API wrapper, enabling replayable and extensible macro execution ahead of VBScript deprecation (2027). Co-developed comprehensive unit and integration testing (93% unit coverage), integrated automated testing into Jenkins/Azure DevOps CI/CD, redesigned the test framework using parameterized tests to reduce execution time from 20 minutes to 3 minutes while covering ~700 API functions, and resolved major quality issues (eliminating ~50 critical/high-priority bugs). Performed daily CI/CD health checks, reported failures/security risks, reduced Azure DevOps cloud costs by 87% through

Web Developer at Langwarrin Community Center

August 1, 2024 - November 1, 2024

Built a headless content management workflow using Wagtail (Python/Django) with a React frontend to support frequent website updates. Implemented secure interactivity and email notifications using app passwords and CSRF protections. Designed backend automation to remove expired content and select the best content for home page placement, practicing Agile delivery from design to deployment within 12 weeks. Used Docker and GitHub for collaborative development and version control, and created development environments for the project lifecycle.

Programmer at Artificial Intelligence Tetress, University of Melbourne

February 1, 2024 - June 1, 2024

Created an AI agent for playing Tetress using adversarial search. Used a minimax algorithm to select optimal moves and added advanced strategies such as area denial. Adapted search depth and behavior fluidly based on game state to reduce computation time, enabling strong performance against random and greedy opponents within a 3-minute decision limit.

Programmer at Humanoid Project, Melbourne Space Program

October 1, 2023 - October 1, 2024

Developed a computer vision system for a bartending robot to identify and differentiate bottles. Implemented bottle recognition using a YOLO model and classification via average image color. Integrated Tesseract OCR to read labels/text from bottles and used Levenshtein distance to improve OCR reliability. Achieved 100% accuracy on opaque bottle identification based on color and label text.

Team Lead and Lead Programmer at Distress! At the Disco, University of Melbourne

July 1, 2023 - November 1, 2023

Developed a 5-minute survival game in Unity with shaders and a particle system using C# and HLSL. Implemented algorithms to dynamically change shaders and textures based on player actions to optimize computational complexity. Led a team of undergraduate and postgraduate programmers by delegating tasks and setting internal deadlines; achieved a distinction grade for the related Graphics and Interaction subject and overall performance.