Samuel Hai is an experienced infrastructure architect with expertise in hybrid and multicloud architecture supporting data engineering and AI. He has over five years of experience working within a cloud infrastructure and 11 years working with general IT infrastructure. He worked recently at 66degrees as a technical lead and implementation engineer for large enterprise clients across multiple verticals. He had been working for a while with SHI International Corp., wherein he started as a Presales Cloud Solution Architect and was eventually promoted as their Cloud Systems Engineer. He guided key application owners on load balancing options for multiple IIS servers and on a re-platforming strategy into Azure Web Apps.

Audio engineer with 13+ years of industry experience, specializing in Prompt Engineering and utilizing AI-driven tools for content writing.

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.

Chris Simpson has been a web developer (HTML, CSS, and JavaScript) for 16 years. His first 8 years were full-stack with C# and ASP.Net, and the last 8 years have been front-end with jQuery, Angular.js, and Vue.js. Most of his web development experience has been with internal tools within Telecommunications, Healthcare, and Biotech. He likes to work with AI, IoT, AU, Blockchain, VR, robots or 3D printing; and/or within software, electronics, material science, sensing, biotech, green tech, frontier research or military tech. He enjoyed doing R&D and prototyping more than production work.

Nicholas Lu is a goal-oriented engineer focused on ML systems and distributed architecture. He works across the MLOps lifecycle, building and maintaining data and model pipelines using Airflow, Spark, Kafka, and Kubernetes. His experience includes deploying containerised workloads with Docker, managing infrastructure via Terraform, and implementing CI/CD with Jenkins, GitLab, and Bitbucket Pipelines. He supports site reliability through monitoring, automation, and incident response in cloud environments (AWS, GCP, Azure, Alibaba Cloud). He codes in Python, Java, SQL, and Bash, and works extensively with Linux and open-source tools.

Tin Chu is a bilingual frontend developer with over eight years of experience in WordPress and full-stack JavaScript web development. At Red Ventures, he has designed and developed websites and microsites to support clients' business initiatives, including online design, SEO, and brand identity. His past clients include Ninjanumber by Cirravox, Riess Group, Zyper.com, UV Digital Services, Sigma Rise, New York City Spine, King.com, and Mandaê.

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.

Yu Yuen Hern is a Data Scientist and research engineer at Xpress AI, He actively researches, develops and translates AI and Data Science methods into software products. Currently pursuing a Master of Data Science at the University of Malaya to gain a deeper understanding of Data Science methods. He occasionally consults and train teams to embrace data science, contributes to open-source projects on GitHub and answers questions on StackOverflow.