About Eduardo
- End-to-end solutions: I design, train, and deploy predictive and generative models (Python + PyTorch/TensorFlow) as REST APIs with FastAPI and Docker containers ready to scale on AWS, Azure, or GCP.
- Business and R&D vision: I have worked in oil and gas, retail, and a user feedback SaaS, combining European research with clear commercial objectives.
- Impact-oriented: I translate complex problems into understandable and deliverable metrics that your team can use from day one.
- Responsible for setting up the AI area in a startup: I built the infrastructure and models for extracting and summarizing customer feedback from scratch.
- MLOps and multi-cloud experience: Airflow, DataBricks, and CI/CD pipelines with GitLab/GitHub to ensure models are updated automatically and securely.
- Clear communication in Spanish and English (B2), facilitating alignment between technical and business profiles.
- Text classification and clustering models (complaints, opinions, tickets).
- Demand or price prediction with time series and XGBoost.
- Anomaly and accident detection in images or sensors.
- Inference APIs with FastAPI + Docker, ready for Kubernetes or ECS.
- Results dashboards and reproducible notebooks for analysts.
Spanish
Native or bilingual
English
Fluent
Experience
- MagicFeedback AI, RemotoArtificial Intelligence EngineerJuly 2023 - Today (2 years and 11 months)Startup environment. Creation of the first version of the AI area.• Automatic extraction of user profile data.• Automatic summarization of feedback.• Automatic extraction of user complaints/praise from feedback.• Automatic clustering of user complaints. Technologies: Python, Pandas, Numpy, Scikit-Learn, Pytorch, Docker, HuggingFace, Gemini (VertexAI), FastAPI, Excel.
- AXPE Consulting,Data ScientistJuly 2022 - July 2023 (1 year)Madrid, SpainContracted at one of Spain's largest oil companies.• Descriptive analysis of competitor oil companies in the stock market.• Predictive model for Naphtha product in the futures market.• Proof of Concept for occupational accident detection.• Descriptive analysis on price optimization for trading operations in the B2B market.Technologies: Python, Azure, DataBricks, XGBoost, HuggingFace, Scikit-Learn, Numpy, Excel, PowerPoint, Pandas.
- Treelogic,Machine Learning EngineerJuly 2021 - July 2022 (1 year)Madrid, SpainEuropean H2020 R&D projects.• Creation of the work environment and training of Deep Learning models for natural language processing.• Creation of the REST API for production deployment of the models.• Creation and support of the work environment on AWS. Technologies: Python, AWS, Shell, Airflow, FastAPI, GitLab, Docker, Tensorflow.
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Education
- Máster en Ciencia de Datos,Universidad de Granada2019Máster en Ciencia de Datos,
- Ingeniería en informática,Universidad de Castilla-La Mancha2017Ingeniería en informática,