Van Tuan Dang

Van Tuan Dang

AI/ML Scientist | AI & Data Solution Architect | Open-Source

Paris, France
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About Me

I am an AI/ML Scientist and AI & Data Solution Architect with a PhD in Engineering Optimization. My work focuses on researching, designing, and deploying AI-driven solutions that bridge technology and business needs.

I specialize in transforming AI models (LLMs, Multimodal, ASR) into scalable, revenue-generating business solutions. My expertise spans AI model architecture, deployment optimization, and measuring business impact.

As an active open-source contributor, I've created widely used French, English, and Vietnamese embedding models available on Hugging Face. I'm passionate about developing AI solutions that solve real-world problems and create measurable value.

Core Expertise

Data & AI Model Architecture

Designing and optimizing advanced neural network architectures for NLP, computer vision, and multimodal applications.

AI Deployment

Transforming research models into production-ready systems with scalable, efficient architectures.

NLP, LLMs, vLLM and ASR

Developing and fine-tuning large language models (LLMs), Vision language models (VLMs) and ASR for specialized domains and multilingual applications.

Business Impact

Translating technical capabilities into measurable business outcomes and ROI-driven solutions.

Optimization

Applying advanced optimization techniques to enhance model performance and computational efficiency.

Cross-functional Leadership

Bridging technical teams and business stakeholders to deliver impactful AI solutions.

Achievements & Contributions

L2RPN 2023 Winner

Winner of the Paris Region AI Challenge for Energy Transition (L2RPN 2023), developing innovative AI solutions for grid management.

View Models

Open Source Embedding Models

Created widely used French, English, and Vietnamese embedding models that have been adopted by numerous organizations and researchers.

View Models

PhD in Engineering Optimization

Completed doctoral research focused on optimization techniques that now inform my approach to AI system design and deployment.

Get In Touch

Interested in collaborating or learning more about my work? Feel free to reach out through any of the platforms below.

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