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Chom

AI Leader | Entrepreneur | Building the Future of Intelligent Systems

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About Me

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Experience

20+ years
Technology & Business Leadership
Regional GTM AI Lead, JAPAC (Google Cloud)
3x Founder
Entrepreneur & Ventures Builder

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Education

B.Eng. University of Electro-Communications
Ph.D. The University of Tokyo
Computer Science & Robotics

Dr. Chomchana Trevai (Chom) is an entrepreneur, investor, and ventures builder with over 20 years of experience at the intersection of AI, robotics, and enterprise technology. Currently Regional GTM AI Lead for JAPAC at Google Cloud, Chom drives AI adoption and go-to-market strategy across the Japan and Asia-Pacific region. Previously at AWS for 8 years (2018-2026), he served as Head of AI/ML Business for ASEAN based in Singapore, and before that as AI/ML Specialist in Japan, helping organizations across the region operationalize machine learning at scale. Earlier, he held business development and technology leadership roles at Cisco Systems, GE Digital, and ServiceMax in Japan. Chom holds a Ph.D. from The University of Tokyo, where his research focused on cooperative multi-robot systems and autonomous exploration using reaction-diffusion models. He is a frequent speaker on AI, agentic AI, generative AI, and the future of intelligent systems, and is passionate about democratizing AI/ML to drive real-world impact.

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What I Believe

My AI Vision

AI Should Be Democratized, Not Gatekept

Every organization, regardless of size or geography, deserves access to transformative AI capabilities. I've spent my career breaking down barriers to AI adoption across Asia-Pacific.

Agentic AI Will Reshape Enterprise

We're moving beyond chatbots to autonomous AI agents that reason, plan, and act. This shift will fundamentally transform how businesses operate and create value.

Human-AI Collaboration, Not Replacement

The most powerful outcomes emerge when humans and AI systems work together. AI amplifies human creativity and decision-making rather than replacing it.

Asia-Pacific Will Lead AI Innovation

With its diverse markets, rapid digitalization, and growing talent pool, JAPAC is uniquely positioned to be a global driver of practical AI innovation.

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Explore My

AI Career Journey

2026 - Present

Regional GTM AI Lead, JAPAC

Google Cloud

Driving AI adoption and go-to-market strategy across the Japan and Asia-Pacific region.

2020 - 2026

Head of AI/ML Business, ASEAN

Amazon Web Services (AWS) • Singapore

Helped organizations across Southeast Asia transition from piloting to operationalizing machine learning at scale.

2018 - 2020

AI/ML Specialist

Amazon Web Services (AWS) • Japan

Drove AI/ML adoption and business development across enterprise customers in Japan.

2008 - 2018

Technology & Business Leadership

Cisco Systems, GE Digital, ServiceMax • Japan

Business development and technology leadership roles across digital transformation, IoT, cybersecurity, and contact center intelligence.

2000 - 2007

AI & Robotics Researcher

The University of Tokyo

Ph.D. research on cooperative multi-robot systems and autonomous exploration using reaction-diffusion models. 14 publications, 78+ citations.

AI & Business Expertise

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Generative AI / LLMs

Experienced

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Agentic AI & AI Agents

Experienced

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MLOps & ML at Scale

Experienced

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AI Go-to-Market Strategy

Experienced

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Responsible AI & Governance

Experienced

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Multi-Robot Systems

Experienced

Technology

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Foundation Models / LLMs

Experienced

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Python, TypeScript, JavaScript

Experienced

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Cloud Infrastructure (GCP & AWS)

Experienced

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AI/ML Frameworks & Tools

Experienced

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Talks & Thought Leadership

Speaking

Harnessing Proprietary Data in the Era of Generative AI

VinAI Research Talk

Insights on AWS's mission to democratize ML model access, accelerated training, foundation models, and knowledge base solutions for enterprise AI adoption.

Data & AI for Innovation

NECTEC-ACE Conference, Thailand

How Data and AI can benefit innovation across public sector, enterprise, and startups, including discussion on Thai language LLMs and national AI strategy.

AI/ML for Public Sector Transformation

AWS Public Sector Day, Thailand

Driving AI adoption and digital transformation in government and public services across ASEAN through cloud-native AI/ML solutions.

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Thoughts & Perspectives

AI Insights

Agentic AI

The Rise of Agentic AI: From Chatbots to Autonomous Systems

How agentic AI is moving beyond simple Q&A to autonomous reasoning, planning, and execution — and what it means for enterprise adoption in JAPAC.

GenAI Strategy

Democratizing AI: Lessons from Scaling ML Across Southeast Asia

Key insights from helping dozens of organizations move from AI pilots to production, and why the gap between experimentation and operationalization remains the biggest challenge.

Future of AI

Why JAPAC Will Shape the Next Wave of AI Innovation

The unique combination of market diversity, digital infrastructure, and talent that positions Japan and Asia-Pacific as a global AI innovation hub.

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Academic Contributions

Research & Publications

14 Research Works • 78+ Citations • University of Tokyo

Multiple Mobile Robot Exploration and Patrol Strategy Using a Self-Organizing Planner Based on a Reaction-Diffusion Equation on a Graph

C. Trevai, N. Fujii, J. Ota, T. Arai

Journal of Intelligent & Robotic Systems

Exploration Path Generation for Multiple Mobile Robots Using Reaction-Diffusion Equation on a Graph

C. Trevai, Y. Fukazawa, H. Yuasa, J. Ota, T. Arai, H. Asama

International Conference on Robotics and Automation

Real-Time Cooperative Exploration by Reaction-Diffusion Equation on a Graph

C. Trevai et al.

Distributed Autonomous Robotic Systems (DARS), 2002

Local Obstacle Avoidance with Reliable Goal Acquisition for Mobile Robots

C. Trevai et al.

Distributed Autonomous Robotic Systems (DARS), 2004

Mobile Robot System for Composition of Seamless and High Resolution Images

C. Trevai et al.

IEEE International Conference on Systems, Man and Cybernetics (SMC), 2003

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Get in Touch

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