Lifewood Leadership Team

Ronald Cheung is the Founder and Chief Executive Officer of Lifewood Data Technology Ltd. He leads the company's overall strategy and is the principal architect of Lifewood's industrial AI data methodology — the operating philosophy that treats large-scale data preparation as a manufacturing discipline rather than a collection of ad hoc projects.

That philosophy is what connects Lifewood's scale to its consistency. A network of more than 40 delivery centres across more than 30 countries, staffed by more than 56,000 trained specialists working in more than 50 languages, only produces dependable output if the work itself is engineered: broken into defined steps, measured at each step, and improved on evidence. Setting and defending that standard across the network is the core of his remit.

Ronald Cheung brings more than 30 years of experience across information technology and industrial AI data. His work centres on a single idea pursued over that period: applying industrial engineering and scientific management to large-scale data processing, so that quality, throughput, and cost behave predictably as volume grows.

He founded Lifewood and has led it from its data processing and digitisation heritage — including large-scale archival scanning and indexing work in the genealogy sector — to its present position supplying AI training data, AI-generated content production, and answer and generative engine optimisation services to technology, automotive, and research organisations. He also set the direction for Lifewood's social investment programme, which extends the company's training and delivery model into under-resourced economies across Africa and the Indian subcontinent.

Eric Kang is the Chief Knowledge Officer of Lifewood Data Technology Ltd., where he leads knowledge management and contributes to the company's AI strategy and the development of its AI-enabled services. He also oversees Corporate Affairs, including the legal function.

In practice, he owns the way work is defined, documented, measured, and transferred between sites. When a client project runs simultaneously in several countries and several languages, the deliverable is only as good as the method behind it: the annotation guidelines, the training materials, the sampling and review rules, the escalation paths, and the record of what was decided and why. Lifewood's Malaysian operation describes itself as the company's knowledge hub and the knowledge bridge between sites operating in different parts of the world — an organisational expression of that mandate.

His current work involves agentic AI, AI-generated content (AIGC), and answer engine optimisation ( AEO / GEO), along with the design of human-in-the-loop systems that pair automation with global multilingual execution.

Eric Kang began his career at Motorola, where from 2000 to 2006 he rose to Design Team Leader, running projects across mechanical design, electrical engineering, software, and manufacturing — an early grounding in coordinating technical domains that do not naturally align themselves.

At Lifewood he has worked across business development, quality, data production, and operations before taking on his current remit. That cross-functional background shapes how he approaches the role: codifying methodology, building the frameworks and metrics that support delivery quality, and helping move new AI services from internal practice toward market.

The knowledge architecture he has built supports delivery across more than 30 countries and more than 50 languages: the quality management systems that make output measurable, the process designs that make it repeatable, and the production methodologies that allow a standard to be taught in one location and reproduced faithfully in another.

He holds a BSEE from Southern Illinois University and an MBA from the Hong Kong University of Science and Technology.