Denis Rothman

@Denis2054

I am an AI systems architect and author focused on practical, human‑centered AI, specializing in multi‑agent systems, contextual reasoning, RAG and GenAI.

AI Architect & Author | Speaker & Instructor France

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Private Repos

Language Breakdown

Lines of code distribution across 8 owned repositories

221.0M Total LOC

Jupyter Notebook

216,975,433 lines

98.2%

N/A

HTML

3,754,466 lines

1.7%

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Python

294,511 lines

0.1%

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JavaScript

9,408 lines

0.0%

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I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook

HTML

Python

JavaScript

Collaboration Network

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Coding Streak

Contribution activity over the past year

1 day

1,333

Contributions

1,326

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Top Repositories

Transformers-for-NLP-2nd-Edition

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

964 361

Jupyter Notebook

RAG-Driven-Generative-AI

This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.

609 211

Jupyter Notebook

Transformers-for-NLP-and-Computer-Vision-3rd-Edition

Transformers 3rd Edition

496 181

Jupyter Notebook

Context-Engineering-for-Multi-Agent-Systems

Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.

245 85

Jupyter Notebook

Building-Business-Ready-Generative-AI-Systems

This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

162 48

Jupyter Notebook

Hands-on-Chatbots

Learn how to build NPL Cognitive Chatbots

25 18

JavaScript

RAG-Driven-Generative-AI-2nd-Edition

Build sovereign RAG systems with MAS‑RAG, Dual‑RAG, GraphRAG, Spatial‑RAG, multimodal pipelines, and vector search directly inside Oracle AI Database 26ai and Exadata.

13 5

Jupyter Notebook

Artificial-Intelligence-By-Example-Second-Edition

Artificial Intelligence By Example Second Edition, published by Packt

9 1

Jupyter Notebook

Hands-On-Explainable-AI-XAI-with-Python

Explainable AI with Python, published by Packt

7 2

Jupyter Notebook

AI_Educational

Jupyter Notebooks and datasets for AI educational purposes

7 2

Open Source Impact

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0 merged PRs

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