naphatthara

@Naphatthara

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ML Engineer & Solution Architect · Deep tech, real impact, every phase from research to production

Tokyo, JapanJoined May 2026

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I build AI products from every angle — model development, cloud platform, architecture, and engineering leadership.

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naphatthara's blogs

Building AI Products, The Unwritten Rulesnaphatthara.dev3 posts

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Nnaphattharanaphatthara.devMay 24 · 5 min read

From Research to Production: The Benchmark Said 15 FPS. My Environment Said 10. Dependency Versions Said Nothing. 😑

In my previous post, I wrote about bridging the gap between research code and production systems. This one is about something I did not pay enough attention to — until I had to. 😅 Library versions. Y

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Nnaphattharanaphatthara.devMay 23 · 5 min read

How to Understand Latency in Computer Vision Inference Systems

In real-time computer vision systems, latency is not just a metric — it is a constraint tied directly to safety and user experience. I've worked on systems where end-to-end latency — from receiving st

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Nnaphattharanaphatthara.devMay 23 · 9 min read

From Research to Production: What Code Needs Before It Can Ship

If you've ever handed off research code to an engineering team — or received it — you probably know this moment. The model works. The accuracy is great. The paper is published or the PoC is approved.

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naphatthara

About

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naphatthara's blogs

Recently published

From Research to Production: The Benchmark Said 15 FPS. My Environment Said 10. Dependency Versions Said Nothing. 😑

How to Understand Latency in Computer Vision Inference Systems

From Research to Production: What Code Needs Before It Can Ship

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naphatthara

About

Available for

naphatthara's blogs

Recently published

From Research to Production: The Benchmark Said 15 FPS. My Environment Said 10. Dependency Versions Said Nothing. 😑

How to Understand Latency in Computer Vision Inference Systems

From Research to Production: What Code Needs Before It Can Ship