I build AI solutions that work in production, from predictive models to conversational agents powered by LLMs.
My focus is on Applied AI & Data Science: turning complex problems into working systems using Machine Learning, RAG pipelines, and agentic architectures. I enjoy the full journey from prototype to deployment.
Check out my work at azafuture.com, where I share projects, experiments, and practical AI implementations.
- 🤖 AI Agents: conversational systems, RAG pipelines, LangChain, multi-agent architectures
- 📊 Data Science: predictive modeling, demand forecasting, customer segmentation
- 🧠 Deep Learning: computer vision (YOLO, ResNet, EfficientNet), neural networks
- 🚀 MLOps & Deployment: FastAPI, Docker, AWS, Streamlit, Railway
- 🔄 Automation: n8n workflows, intelligent pipelines
- 🎯 Applied AI Engineer at Aselvia, building conversational agents with Python, RAG, LangChain, FastAPI and vector databases
- 📈 Previously Data Scientist at Tiendas MGI demand forecasting, Power BI dashboards, pricing optimization
- 🎓 Master's in Applied AI from Instituto Europeo de Posgrado
- 🛠️ I prototype fast, iterate often, and ship things that solve real problems
- 🎨 Senior 3D Artist background for video games
Languages: Python, SQL
ML/DL: scikit-learn, TensorFlow, PyTorch, Keras
Computer Vision: OpenCV, YOLO, ResNet, VGG, EfficientNet
LLMs & RAG: LangChain, GPT, Claude, Gemini, Pinecone, Hugging Face
Cloud & Deploy: AWS (Bedrock, Lightsail), Docker, FastAPI, Streamlit
Data & BI: pandas, Power BI, Matplotlib, Seaborn, Plotly
Automation: n8n
- 🌐 Portfolio: azafuture.com
- 💼 LinkedIn: adrianzambranaacquaroni
- 🐙 GitHub: Acquarts
- 📧 Email: [email protected]
Building AI that actually works. 🚀