Skip to content
View rafapecino's full-sized avatar
🎯
Focusing
🎯
Focusing
  • Madrid

Block or report rafapecino

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
rafapecino/README.md
Typing SVG

Machine Learning Engineer · Deep Learning · NLP · LLMs

Researching Predictive Maintenance (RUL) with Deep Learning · MSc AI @ UAX · Madrid, Spain


LinkedIn Email


🧠 About Me

  • 🎓 MSc in Artificial Intelligence @ Universidad Alfonso X el Sabio — Deep Learning · NLP · Computer Vision · Big Data
  • 🔬 Researching RUL estimation for aero-engines using a hierarchical DL pipeline (VAE + RF + CNN + LSTM + Transformer) on the NASA C-MAPSS dataset — targeting Q1 publication (RESS / MSSP)
  • 🤖 Experienced in end-to-end ML systems: model design, training, and production deployment
  • 🌐 Also a Full Stack developer — built PecinoGP, a high-traffic MotoGP real-time data platform
  • 📍 Based in Madrid, Spain · Open to hybrid & remote opportunities

🛠️ Tech Stack

AI & Machine Learning

Python PyTorch TensorFlow scikit-learn HuggingFace OpenCV Pandas NumPy

GenAI & LLMs

LangChain OpenAI Vertex AI Gradio

Web Development

Next.js React TypeScript Node.js FastAPI

DevOps & Tools

Docker Git Linux SQL Vercel


🚀 Featured Projects

Project Description Stack
🛩️ TFM – Aero-Engine RUL Hierarchical DL pipeline for Remaining Useful Life estimation on NASA C-MAPSS. Outperforms SOTA on FD002 & FD004. Target: RESS / MSSP (Q1 JCR). PyTorch · VAE · LSTM · Transformer
🛡️ SIEM / UEBA – Insider Threat Multi-detector UEBA that flags insider threats on the CERT r4.2 dataset — rules + Isolation Forest + autoencoder + temporal Transformer — with an interactive SOC dashboard. Polars · PyTorch · scikit-learn · Streamlit
🤖 CV Matcher Final-degree project: semantic CV-to-job matching & ranking with NLP and embeddings (Vertex AI / OpenAI / HF), with a Gradio UI. HuggingFace · Vertex AI · Gradio
📰 News Classifier Multi-category news classification comparing neural network architectures. PyTorch · NLP
🎬 IMDB Sentiment Analysis Sentiment classification on IMDB movie reviews. PyTorch · NLP
🏠 Housing Price Prediction Regularised regression (Ridge/Lasso) + PCA on the Ames dataset. R · scikit-learn
🏍️ PecinoGP High-traffic MotoGP data platform with real-time REST APIs and CI/CD on Vercel. Next.js · TypeScript · Vercel

📊 GitHub Stats


Open to AI/ML and Software Engineering roles in Madrid (hybrid) or remote.

rafapecino@gmail.com · LinkedIn

Pinned Loading

  1. cv-matcher-nlp cv-matcher-nlp Public

    Final-degree project (TFG): CV Matcher - semantic CV-to-job matching and ranking using NLP and embeddings (Vertex AI / OpenAI / Hugging Face), with a Gradio UI.

    Jupyter Notebook

  2. ames-house-prices-regularized-regression ames-house-prices-regularized-regression Public

    Repositorio de análisis predictivo del precio de viviendas (Ames) en R. Incluye EDA, preprocesado (imputación, log(SalePrice), estandarización), PCA para estudiar varianza explicada y modelos de re…

    R

  3. news-classification-neural-networks news-classification-neural-networks Public

    Multiclass news topic classification comparing several neural network architectures (NLP / deep learning).

    Jupyter Notebook

  4. PecinoGP_Web PecinoGP_Web Public

    PecinoGP - high-traffic MotoGP platform with real-time data and REST APIs (Next.js / TypeScript, deployed on Vercel).

    TypeScript

  5. SIEM-insider-threat-ueba SIEM-insider-threat-ueba Public

    Mini-SIEM / UEBA para deteccion de amenazas internas (insider threats) sobre el dataset CERT r4.2, con 4 detectores especializados y panel SOC interactivo.

    Jupyter Notebook

  6. TFM-AeroEngine-Anomaly-RUL-VAE-TFT TFM-AeroEngine-Anomaly-RUL-VAE-TFT Public

    Framework de Deep Learning híbrido (VAE + TFT) para la detección de anomalías y predicción de Vida Útil Remanente (RUL) en turbinas aeronáuticas utilizando el dataset NASA C-MAPSS, con enfoque en c…

    Jupyter Notebook