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Văn Quyết

@vnquyt

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AI engineer focused on LLMs and RAG who developed an admissions chatbot with Precision@1 of 1.0.

Vietnam

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What I'm looking for

I’m interested in building reliable LLM-powered applications and intelligent AI agents.

At NOVAHA CO.,LTD, I developed and optimized a PyTorch image-to-painting style transfer pipeline based on Neural Style Transfer. It processed each image in approximately 12 seconds and achieved 85%–90% style similarity.

For my capstone project, I developed a multi-modal university admissions RAG chatbot using Python, LangChain, LangGraph, Qdrant, FastAPI, and Next.js. Its retrieval evaluation reached Precision@1 of 1.0, Recall@3 of 0.9881, and MRR@5 of 1.0.

In a separate project, I fine-tuned and quantized Qwen3-8B and Llama-3.1-8B on a Vietnamese university admissions dataset of 1,117 Q&A pairs. I deployed them with vLLM and ngrok for downstream application integration.

I’m studying Applied Artificial Intelligence at Mien Dong Innovative Technology University. I’m particularly interested in building reliable LLM-powered applications and intelligent AI agents.

Experience

Work history, roles, and key accomplishments

Generative AI Intern

NOVAHA CO.,LTD

Jan 2026 - Mar 2026 (2 months)

Collected and curated an image dataset of historical landmarks in Ho Chi Minh City. Developed and optimized an Image-to-Painting Style Transfer pipeline based on the original Neural Style Transfer (NST) model implemented in PyTorch, achieving high-quality style transformation with a processing time of approximately 12 seconds per image and a style similarity rate of 85%–90%.

Python PyTorch Neural Style Transfer Image Processing Dataset Curation