María (Ángeles) Cano Muñoz
AI Engineer
Experience
AI Engineer
Jaisoft, S.L.; Seahorse Technologies, S.L.; Seahorse Factory, S.L.
- Analysis, design and implementation of a multi-agent text-to-SQL RAG for advanced products management
- PostgreSQL, FAISS, OpenAI API, LangChain, Streamlit, Neo4j, LangGraph, FastAPI, PySpark, Terraform and Kubernetes
AI Engineer
Jaisoft, S.L.
- Analysis, design and implementation of a text-to-SQL RAG for advanced clients management
- PostgreSQL, FAISS, HuggingFace, Streamlit, Neo4j, FastAPI, PySpark, Terraform and Kubernetes
AI Engineer
Jaisoft, S.L.
- Analysis, design and implementation of a semantic network for advanced products and clients management
- Terraform, Kubernetes, Angular, Spring Boot, PySpark, Jena, Lucen, PyTorch, HuggingFace and Stanford NLP
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Information Technology (16 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (16 years), Product Development (16 years), Research and Development (12 years), and Business Intelligence (6 years).
Summary
AI Scientist specialising in machine learning, reinforcement learning, and deep learning model development. Experienced in model evaluation, fine-tuning transformer architectures, and deploying scalable AI solutions on cloud platforms. Skilled in turning complex data into actionable insights and delivering production-ready AI applications.
Skills
- Model Engineering: Designing, Testing, And Optimising Dl Architectures For Real-world Problems (Pytorch And Tensorflow For Cnn, Rnn, Gnn, Transformers), Model Fine-tuning With Hugging Face Transformers, Amazon Bedrock, Gemini And Openai.
- Context Engineering: Ai Agents (Streamlit, Langchain And Langgraph), And Rags (Faiss, Chroma, Qdrant, Pinecone, Postgresql, Mongodb, And Neo4j).
- Evaluation Engineering: Openevals And Openai Evals.
- Data Visualization: Power Bi, Qlik, Tableau, Python Libraries (Matplotlib, Seaborn, Bokeh, Plotly) And R Libraries (Ggplot2, Plotly).
- Microservices Engineering: Pydantic, Requests And Fastapi (Oas3).
- Mlops: End-to-end Model Deployment And Monitoring Using Google Colab, Aws Sagemaker And Azure Ml (Ci/cd Pipelines For Scalable Ai Applications).
- Big Data: Pyspark And Databricks.
Languages
Education
Master in Data Science and Business Analytics · Data Science and Business Analytics
PhD in Pedagogy · Pedagogy
Profile
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