Phasuwut
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Phasuwut

Full Stack · AI Engineer · Thailand

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© 2026 Phasuwut Chunnapiya

[email protected]

Multi-Model AI Inference for Image Generation

A full-stack AI image generation platform supporting multiple SDXL-based diffusion models on RunPod serverless GPU. Users can write prompts in any language — the system auto-translates to English — then configure generation parameters and generate images stored on AWS S3. Includes image inpainting, public gallery, per-user history, and an admin panel for managing users and images. This project demonstrates practical execution from architecture and implementation to measurable delivery outcomes.

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Personal ProjectsYear 2026

Project Overview

Objective

A full-stack AI image generation platform supporting multiple SDXL-based diffusion models on RunPod serverless GPU. Users can write prompts in any language — the system auto-translates to English — then configure generation parameters and generate images stored on AWS S3. Includes image inpainting, public gallery, per-user history, and an admin panel for managing users and images.

Stack

Next.jsTypeScriptNestJSFastAPIPrismaSQLiteAWS S3RunPod Serverless GPUPyTorchDiffusersSDXL TurboJuggernaut XLRealVisXL V5CyberRealistic XLLibreTranslateDockerJenkinsGoogle Analytics 4Sentry

Delivery highlights

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Related Projects

3 items

Text-to-Image Semantic Search Module

Personal ProjectsYear: 2026

Built text-to-image semantic search using CLIP shared embedding space and FAISS indexing.

Multimodal Semantic Retrieval (Video and Image Search)

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Unified text-to-video and text-to-image search into one cross-modal retrieval platform.

Image-to-Image and Video Similarity Search System

Personal ProjectsYear: 2026

Built query-image driven retrieval across both image and video collections.