I'm a passionate data professional focused on unlocking insights from data and building intelligent systems. With a background in software engineering and years of experience delivering machine learning solutions, I now specialize in Data Science, Machine Learning, and Generative AI. I'm constantly experimenting with new models, exploring large language models (LLMs), and applying statistical techniques to real‑world problems.

• 🔠 Currently working on gen‑ai‑practice – a collection of notebooks exploring LLMs, transformers and prompt engineering.
• 📚 Learning advanced Deep Learning, Transformers, and MLOps.
• 💻 I love using Python, Pandas, NumPy, SciPy, Jupyter notebooks and frameworks like PyTorch and TensorFlow.
• 🎗 My goal is to build data products that drive decision‑making and create delightful AI experiences.

• Languages: Python, JavaScript/TypeScript, SQL
• Machine Learning: scikit‑learn, TensorFlow, PyTorch, Hugging Face Transformers
• Generative AI: LLM fine‑tuning, prompt engineering, LangChain, OpenAI API
• Data Analysis & Visualization: Pandas, NumPy, SciPy, Jupyter, Matplotlib, Seaborn, Plotly
• Backend & APIs: Django, FastAPI, Flask, Node.js, Next.js
• DevOps & Cloud: Docker, Kubernetes, AWS, GitHub Actions

1. Gen‑AI Practice – Notebooks exploring generative models, transformers and prompt engineering.
2. Linear Regression Video – A step‑by‑step tutorial on linear regression using scikit‑learn and Matplotlib.
3. api-remove-background-images-fast-api – A FastAPI microservice to remove image backgrounds using AI.
4. Busqueda-por-Amplitud-IA – Implementation of breadth‑first search for problem solving.

• LinkedIn: linkedin.com/in/andyycode
• Twitter/X: @andyvzcode
• Blog: blog.andyinbits.com

In my free time, I enjoy reading about AI breakthroughs and experimenting with generative art models — it's amazing how code can create art!