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Matías Moralejo Palma

@matasmoralejopalma

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AI Engineer who built and launched Poke League Hub, a live web app with a FastAPI backend, PostgreSQL, and React.

Spain

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What I'm looking for

I'm based in Málaga, open to fully remote work, and available immediately.

I built and launched Poke League Hub, a live app for the Pokémon league I organise with friends. It tracks seasons, standings, and playoffs, with a Python and FastAPI backend, PostgreSQL database, and React + TypeScript frontend.

I put every change through a Git pull request and automated tests in GitHub Actions. After reviewing server logs and measuring slow start-ups, I moved the API to another host to reduce a major source of hosting cost.

At AITALENTUM, I built Python data pipelines that took raw weather-station data through cleaning, model training, and evaluation to forecast reports for agricultural decisions. My comparison of a Random Forest and a Bidirectional LSTM forecast two variables up to three hours ahead, reaching R² = 0.93 on unseen test data.

For my UNIR master’s thesis, I built EchoQuest, a real-time voice prototype where users talk with an AI character. It uses an LLM and speech-to-text, and analyzes pitch, energy, and pauses to flag possible signs of depression in a session report.

Experience

Work history, roles, and key accomplishments

Master's Thesis

UNIR

Nov 2025 - Sep 2026 (10 months)

Developed EchoQuest, a real-time voice prototype using an LLM and speech-to-text, with analysis of vocal features to flag potential signs of depression.

LLM Lang Chain Groq API Whisper Speech to Text Python Real Time Systems

AI & Data Science Intern

AITALENTUM

Feb 2026 - Jun 2026 (4 months)

Built Python data pipelines for weather-station data, including cleaning, model training, and evaluation, and developed forecast models for precision agriculture. Presented results to the team and tutor.

Python Data Pipelines Random Forest Bidirectional LSTM Time series Forecasting Data Cleaning Model Evaluation

Bachelor's Thesis

University of Málaga

Oct 2024 - Mar 2025 (5 months)

Developed an image search system for skin lesion photos using deep learning techniques including CNNs, YOLO, and OpenCV.

Deep Learning CNN YOLO OpenCV Computer Vision Python

Biomedical Engineering Intern

Ototech

Mar 2024 - Jul 2024 (4 months)

Improved and lab-tested a medical-device prototype for the ear and wrote a report on C++ noise-reduction algorithms.

C++Medical Devices Prototyping Lab Testing Noise Reduction

Education

Degrees, certifications, and relevant coursework

UNIR - International University of La Rioja

Master’s Degree in Artificial Intelligence, Artificial Intelligence

2025 -

Master’s Degree in Artificial Intelligence with coursework and thesis completed, defense pending. Includes PSU in Generative AI for Business Applications.