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I am a PhD in Mathematics and AI Scientist specializing in Generative and Agentic AI, RAG systems, and small language models. Skilled in both classical methods such as GANs and VAEs and modern architectures, including transformers and diffusion models. Currently, I fine-tune large and small language models and design custom RAGS systems to enhance AI capabilities. My experience extends : 1- From developing AI-powered medical document analysis systems that improved retrieval accuracy by 70% 2- Creating voice-to-invoice AI solutions that halve manual entry time. I am passionate about advancing AI integration with a focus on fine-tuning, hybrid RAG models, and AI system development, aiming to boost performance and efficiency in real-world applications.…I am a PhD in Mathematics and AI Scientist specializing in Generative and Agentic AI, RAG systems, and small language models. Skilled in both classical methods such as GANs and VAEs and modern architectures, including transformers and diffusion models. Currently, I fine-tune large and small language models and design custom RAGS systems to enhance AI capabilities. My experience extends : 1- From developing AI-powered medical document analysis systems that improved retrieval accuracy by 70% 2- Creating voice-to-invoice AI solutions that halve manual entry time. I am passionate about advancing AI integration with a focus on fine-tuning, hybrid RAG models, and AI system development, aiming to boost performance and efficiency in real-world applications.

Erfan Soheil

AI Engineer, Data Scientist, AI Developer, +2

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I am a PhD in Mathematics and AI Scientist specializing in Generative and Agentic AI, RAG systems, and small language models. Skilled in both classical methods such as GANs and VAEs and modern architectures, including transformers and diffusion models. Currently, I fine-tune large and small language models and design custom RAGS systems to enhance AI capabilities. My experience extends : 1- From developing AI-powered medical document analysis systems that improved retrieval accuracy by 70% 2- Creating voice-to-invoice AI solutions that halve manual entry time. I am passionate about advancing AI integration with a focus on fine-tuning, hybrid RAG models, and AI system development, aiming to boost performance and efficiency in real-world applications.…I am a PhD in Mathematics and AI Scientist specializing in Generative and Agentic AI, RAG systems, and small language models. Skilled in both classical methods such as GANs and VAEs and modern architectures, including transformers and diffusion models. Currently, I fine-tune large and small language models and design custom RAGS systems to enhance AI capabilities. My experience extends : 1- From developing AI-powered medical document analysis systems that improved retrieval accuracy by 70% 2- Creating voice-to-invoice AI solutions that halve manual entry time. I am passionate about advancing AI integration with a focus on fine-tuning, hybrid RAG models, and AI system development, aiming to boost performance and efficiency in real-world applications.

Available to hire

I am a PhD in Mathematics and AI Scientist specializing in Generative and Agentic AI, RAG systems, and small language models.
Skilled in both classical methods such as GANs and VAEs and modern architectures, including transformers and diffusion models.
Currently, I fine-tune large and small language models and design custom RAGS systems to enhance AI capabilities.

My experience extends :
1- From developing AI-powered medical document analysis systems that improved retrieval accuracy by 70%
2- Creating voice-to-invoice AI solutions that halve manual entry time.

I am passionate about advancing AI integration with a focus on fine-tuning, hybrid RAG models, and AI system development, aiming to boost performance and efficiency in real-world applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Advanced

French

Intermediate

Work Experience

AI Scientist at TORUS AI

December 2, 2023 - Present

Fine-tuned large language models (LLMs), small language models (SLMs), and diffusion models achieving a 40% increase in model performance on custom tasks. Developed custom use of Retrieval-Augmented Generation systems (agentic, hybrid) for enhanced AI applications.