{ "title": "building ai, ml, llm, quant finance", "scope": "tuning hyperparameters and chasing SOTA", "education": "Bsc. Statistics" }

I'm an aspiring AI developer and machine learning engineer with a strong foundation in data science. I enjoy building intelligent systems that solve real-world problems and exploring how machines can learn, reason, and evolve.

• 🤖 Build and train machine learning models with Python
• 📊 Analyze datasets to extract meaningful insights
• 🧪 Experiment with deep learning and neural networks
• 🚀 Work on personal AI/ML projects and share what I learn

• Languages: Python, R, SQL
• Libraries & Frameworks: Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, Matplotlib, Seaborn
• Tools: Jupyter Notebook, Google Colab, VS Code, Git, GitHub
• Other: Streamlit, APIs, Notion, Kaggle

• Transformer models and Natural Language Processing (NLP)
• Building end-to-end machine learning pipelines
• Deploying AI apps with Streamlit and FastAPI
• Solving real-world problems using open datasets

• GitHub: @codewithraphael
• LinkedIn: @codewithraphael
• YouTube: @codewithraphael
• Instagram: @codewithraphael
• Twitter / X: @codewithraphael
• Threads: @codewithraphael

🎯 Always learning, always building.
📬 Open to collaborations and project ideas!