Michael Dutton is an AI creative director with a background spanning creative studios and in-house teams, including his time at Monks, where he honed his craft across integrated campaigns and digital-first work. He brings hands-on expertise in AI-driven creative workflows, prompt engineering, LLM fine-tuning, and generative AI tools for image, video, and copy production. His experience covers both B2B and B2C environments, having worked with global brands and high-growth unicorns across tech, finance, retail, healthcare, and FMCG. Michael's core strengths lie in translating AI capabilities into scalable creative systems, from concept development and art direction to production automation and team upskilling.

Jun Wei Teo is a creative technologist with experience spanning interaction design, prototyping, and applied AI. He previously worked at Figma, where he contributed to design tooling and collaborative workflows, building expertise in design systems, component architecture, and developer handoff processes. His skill set includes creative coding (JavaScript, TypeScript, GLSL), generative AI prototyping with tools like Stable Diffusion and ComfyUI, prompt engineering, and building interactive experiences using WebGL and Three.js. He also works with machine learning frameworks such as TensorFlow.js and RunwayML to integrate real-time AI into creative outputs. Jun Wei has applied his combined design and engineering thinking at Canva, working across product and platform challenges in the creative tools space. His vertical experience covers SaaS, design infrastructure, and AI-augmented creative tooling.

As a data scientist, Peter Faase has expertise in solving complicated data problems and working with Big Data to generate useful insights, intelligence, and applications. Combining his strong communication, presentation, and analytical skills, he has created data-driven solutions for organizations by designing and running complex data analyses trajectories using machine learning, predictive analyses, Artificial Intelligence (AI), and other statistical and mathematical techniques. He is skilled with tools such as Python, MySQL, SPSS, and Excel and also familiar with Agile Scrum techniques.

Anni Huang specialises in artificial intelligence with a strong focus on algorithms, machine learning, and deep learning applied to real-world industrial challenges. Her work spans end-to-end data science pipelines, model development, and deployment, with particular emphasis on MLOps practices. She builds scalable workflows on Google Cloud Platform and is advancing her MLOps capabilities on AWS, covering model versioning, CI/CD, monitoring, and reproducibility. She is proficient in software development, data visualisation using R and Tableau, and translating complex models into production-ready solutions.