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  • Ford Motor Company
  • London

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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rauldelahera/README.md

Raul de la Hera

Applied AI and machine learning engineer. I build end-to-end systems: data pipelines, NLP, retrieval-augmented generation, and the interfaces on top.

Selected projects

  • osint-ai: ingests public news RSS, extracts entities with spaCy, maps how they co-occur as a graph, and answers questions over the corpus with local RAG. Runs fully local, no API keys.
  • warranty-prediction-agent: AI agent for warranty prediction built on Google ADK, Gemini, and BigQuery ML.
  • customer-churn-sentiment-analysis: end-to-end ML and NLP, churn prediction with Random Forest and SMOTE plus social-media sentiment analysis.
  • dora-metrics-dashboard: native macOS dashboard for DORA metrics and PR review times, built with SwiftUI.
  • where: full-stack location-based social app, React frontend with a Java Spring backend.

Working with Python, RAG, LangGraph, spaCy, ChromaDB, sentence-transformers, Streamlit, Docker, GCP, Terraform.

I care about responsible AI and honest evaluation of what models can and cannot do.

Pinned Loading

  1. warranty-prediction-agent warranty-prediction-agent Public

    AI-powered warranty prediction using Google ADK, Gemini, and BigQuery ML

    Python

  2. customer-churn-sentiment-analysis customer-churn-sentiment-analysis Public

    End-to-end machine learning and NLP projects: Predicting customer churn using Random Forest and SMOTE, and analyzing social media sentiment to drive business retention strategies.

    Jupyter Notebook

  3. dora-metrics-dashboard dora-metrics-dashboard Public

    macOS dashboard for tracking DORA metrics and PR review times. Built with SwiftUI as my Makers Academy apprenticeship capstone project.

    Swift

  4. where where Public

    Full-stack location-based social app with React frontend and Java Spring backend - Makers Academy apprenticeship project

    Java 1 3

  5. osint-ai osint-ai Public

    AI-assisted OSINT tool: ingests public news RSS, extracts entities with spaCy, maps how they co-occur as a graph, and answers questions over the corpus with local RAG. Local-first, no API keys.

    Python