Available to hire
Hi, I’m Yiyue (Joanna) Qiao, a Creative Technologist blending data science with Generative AI to craft AI-native workflows. I orchestrate AI agents to turn abstract concepts into interactive experiences, from narrative-driven games to intelligent systems that translate reflection into action.
I bridge engineering precision with artistic vision, using analytical rigor and creative intuition to shape the next generation of digital products. I thrive on rapid prototyping, cross-disciplinary collaboration, and turning ambitious ideas into tangible user experiences.
Skills
Experience Level
Expert
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Intermediate
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Language
English
Fluent
Work Experience
Visual & Digital Arts Specialist - AI Trainer at Invisible Technologies
December 1, 2025 - PresentPromoted prompt engineering and RLHF-style evaluation: refined detailed text and image prompts to convert abstract concepts into precise instructions, enhancing output alignment, visual fidelity, and consistency. Assessed LLM responses for semantic accuracy and tone, delivering targeted feedback to support human-in-the-loop refinement. Created high-fidelity annotations for multimodal training to improve vision-language tasks.
Independent Creative Technologist at Self-Employed
July 1, 2024 - PresentBuilt a full-stack AI-driven wish-planning platform (SkyWishes) using crewAI/LangChain. Designed and orchestrated a multi-agent system that converts user wishes into actionable plans with persistent memory and state management via Supabase. Developing an AI-native narrative pixel-art game (Little Ba) in Godot 4 with an AI-agent workflow. Rapid prototyping to accelerate system design and creative iteration. Designing multimodal pipelines to maintain visual style coherence across image and video generation. Exploring AR/VR-driven interaction models and data-informed UX optimization.
Independent Creative Technologist at Remote
July 1, 2024 - PresentBuilt SkyWishes: a full-stack wish-planning platform using crewAI on LangChain with Supabase for memory and state management. Designed and orchestrated a multi-agent system that autonomously turns user wishes into actionable plans. Developing an AI-native game workflow for asset creation and scripting in Godot 4, while maintaining a handcrafted aesthetic. Conducted rapid prototyping and “Vibe Coding,” and designed multimodal pipelines to keep visual styles coherent across image and video.
Independent Creative Technologist at Self-employed / Independent
July 1, 2024 - PresentIndependent Creative Technologist focusing on AI-native workflows and interactive experiences. Developing AI-driven prototypes and games, including a narrative pixel-art project in Godot 4, with a custom AI-agent workflow to accelerate asset creation and script drafting while preserving a hand-crafted aesthetic. Pioneering rapid prototyping and 'vibe coding' to skip boilerplate code and emphasize system design and creative iteration. Designing multimodal AIGC pipelines to maintain consistent character visuals and painting styles (Impasto, Pixel Art) across image and video platforms for cohesive storytelling. Exploring AR/VR interactions and leveraging analytics (PostHog, Microsoft Clarity) to optimize data-driven UX while supporting creative goals.
Data Analyst at Ministry of Justice, New Zealand
August 1, 2022 - July 31, 2024Data Engineering & Strategy: Used R for advanced text mining and data extraction to derive actionable insights informing strategic decisions. Reporting & Analytics: Leveraged SAS and Excel to analyze complex datasets and produce high-level internal performance reports. Stakeholder Communication: Managed high-pressure deadlines to provide accurate responses for Official Information Act (OIA) requests and Written Parliamentary Questions (WPQs).
Research & Development Intern (HCI) at Empathic Computing Lab, University of Auckland
March 1, 2021 - March 31, 2022VR/AR Prototyping: Developed a novel interaction prototype enabling asymmetric input across mobile screens, VR controllers, and hand gestures. Academic Contribution: Published a conference poster detailing the findings of a cross-device interaction study.
Data Science Intern at Quantiful
November 1, 2020 - March 1, 2021End-to-end ML PoC: designed database schemas, engineered design-matrix features, and supported full lifecycle of ML projects. Gained cloud experience deploying workflows using AWS S3, Athena, and SageMaker.
Data Science Intern at Quantiful, New Zealand
November 1, 2020 - March 31, 2021End-to-End Machine Learning: Supported a full-lifecycle POC project, designed SQL schemas to fit client requirements, and engineered design matrix features. Model Optimization: Applied QA techniques to features and experimented with models to improve predictive performance. Cloud Infrastructure: Deployed workflows using AWS S3, Athena, and SageMaker.
Education
Bachelor of Science (Statistics & Computer Science) at The University of Auckland, New Zealand
January 1, 2018 - December 31, 2021Bachelor of Science (Computer Science & Statistics) at The University of Auckland, New Zealand
January 11, 2030 - January 28, 2026Bachelor of Science (Computer Science & Statistics) at The University of Auckland, New Zealand
January 11, 2030 - January 28, 2026Bachelor of Science (Computer Science & Statistics) at The University of Auckland
January 11, 2030 - February 2, 2026Bachelor of Science (Computer Science & Statistics) at The University of Auckland, New Zealand
January 11, 2030 - February 2, 2026Qualifications
Industry Experience
Gaming, Software & Internet, Media & Entertainment, Education, Government, Professional Services
Skills
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Expert
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Intermediate
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