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Acquarts/README.md

Hi, I'm Adrián 👋

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.

What I work on

  • 🤖 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: CI/CD, Vertex AI, Cloud Run, Arize, RestAPI, FastAPI, Docker, AWS, Streamlit, Railway
  • 🔄 Automation: Make, n8n workflows, intelligent pipelines

About Me

  • 🎯 Applied AI Engineer Previously 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

Tech Stack

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: CI/CD, Vertex AI, Cloud Run, Arize, RestAPI, FastAPI, Docker, AWS, Streamlit, Railway
Data & BI:      pandas, Power BI, Matplotlib, Seaborn, Plotly
Automation:     n8n

Let's Connect


Building AI that actually works. 🚀

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  1. chatbot-gaming-assistant chatbot-gaming-assistant Public

    An AI-powered video game assistant built with Google Agent Development Kit (ADK) and Gemini 2.5 Flash. Features a multi-agent architecture with specialized sub-agents for YouTube video search, web …

    Python

  2. developer-stress-predictor-ml-production developer-stress-predictor-ml-production Public

    An end-to-end Machine Learning application that predicts developer stress levels based on work patterns, habits, and environmental factors. Built with production-grade practices including CI/CD pip…

    Jupyter Notebook

  3. ml-medical-insurance-costs-predictor-app ml-medical-insurance-costs-predictor-app Public

    Web application to predict medical insurance costs using Machine Learning, deployed on Google Cloud Run.

    Jupyter Notebook

  4. flight-price-ml-production flight-price-ml-production Public

    End-to-end Machine Learning system for flight price prediction with REST API, web interface, CI/CD pipeline, and AWS deployment

    Python

  5. google-adk-rag-agent-camping-receptionist google-adk-rag-agent-camping-receptionist Public

    An intelligent virtual receptionist for Camping La Rosaleda, built with Google ADK (Agent Development Kit) and Vertex AI RAG Engine.

    Python

  6. ai-agents ai-agents Public

    A collection of AI agents built with Google ADK, LangChain, and modern agentic tools.

    Python