EmbeddedLLM Team

Meet Our Team

OUR STORY

We started Embedded LLM with a simple goal: make AI practical, fast, and accessible to everyone.

Frustrated by the complexity and cost of deploying large language models, we built JamAI Base—a no-code platform that lets businesses embed LLMs into their workflows in minutes, not months.

Born in Singapore and Kuala Lumpur, our team is redefining how AI is built and used—locally, securely, and efficiently. We’re also growing a community of builders through events like vLLM Asia Developer Day, pushing the edge of what’s possible.

AI shouldn’t be distant. That’s why we’re embedding it.

Vision

vLLM everywhere: the fastest engine on any hardware, powering an interoperable, federated AI utility.

Mission

A federated AI utility powered by vLLM: fastest on any hardware, interoperable by design, and aligned with the ecosystem so contributors and partners all benefit.

OUR TEAM

Ghee Leng Ooi
Ghee Leng Ooi
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Co-Founder/CEO

Pin Siang Tan
Pin Siang Tan
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Co-Founder/CTO

Jun Kang Chow
Jun Kang Chow
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Lead AI Strategy & Solutions

Ye Hur Cheong
Ye Hur Cheong
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Principle AI Engineer

Zi Qing Ang Vivian
Zi Qing Ang Vivian
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VP of AI Infrastructure & Strategic Alliance

Jia Qi Lim
Jia Qi Lim
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Head of Marketing & Communications

Jie Huei Tan
Jie Huei Tan
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Product AI Engineer & Strategist

Tun Jian Tan
Tun Jian Tan
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Principle Software EngineerLLM Infrence

Hoi Pang Lim
Hoi Pang Lim
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Principal AI Engineer, Client Solution

Yun Min Koay
Yun Min Koay
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UX/UI Designer

Hao Shan Wong
Hao Shan Wong
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AI Engineer, Backend

Mei Ling Leung
Mei Ling Leung
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Engineer

Kuan Fu Liu
Kuan Fu Liu
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Software Engineer, Infrastructure

Muhammad Usman
Muhammad Usman
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Lead Growth Strategist, Developer Ecosystem

Dkhiri Rafaane
Dkhiri Rafaane
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Software Engineer, Frontend

Kamil Hassan
Kamil Hassan
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Software Engineer, Frontend

Our Advisory Board

Barbara Meynert
Barbara Meynert
Prof. Michael Sung
Prof. Michael Sung
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