“Exploring Generative AI through hands-on demos and practical applications.”

• 🧠 Generative AI enthusiast with experience in multi-modal models, diffusion, GANs, CLIP, RAG, and VAEs
• 💡 Skilled at turning research concepts into practical, reproducible demos
• 📊 Strong background in Python, PyTorch, HuggingFace, and LangChain/LangGraph
• 🌐 Open to collaboration, research, and professional opportunities in AI/ML

• Languages: Python, SQL
• AI/ML: PyTorch, HuggingFace, Diffusers, Transformers, LangChain, LangGraph
• Data: Pandas, NumPy, scikit-learn, Datasets
• Tools: Jupyter, Git, Stability.ai API, OpenAI API

Hands-on notebooks demonstrating image generation, multi-modal AI, and retrieval-augmented generation.
_{Includes GANs, CLIP, VAEs, Diffusion models, LangGraph multi-agent workflows, and more.}

• 💼 LinkedIn
• 🌐 Git
• 📧 [douglasgdaly@gmail.com]

⭐️ Thanks for visiting my GitHub! Feel free to check out my work or connect with me.