Eduardo Matallanas
AI Engineer at Stealth startup
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolEduardo Matallanas is an AI engineer with 11+ years blending academic rigor and industry impact, from a PhD-focused background in energy management at Universidad Politécnica de Madrid to leading AI teams in consultancy and startups. He has built and productionized ML, DL and NLP systems across sectors—healthcare, legal, energy and mobility—while guiding MLOps, model governance and data-centric design. Recently he’s focused on LLM architecture, RAG pipelines and advanced reasoning engines, bringing practical experience fine-tuning models for conversational and domain-aware applications. A published researcher with 20+ peer-reviewed papers, he pairs deep research in distributed neural systems for grid optimization with hands-on engineering in cloud and on-prem deployments. Known as a “knowmad” developer, he combines continuous curiosity with mentorship and a knack for turning cutting-edge research into customer-facing solutions.
10 years of coding experience
15 years of employment as a software developer
Doctor Ingeniero de Telecomunicación, Ciencias de la computación y energía eléctrica, Doctor Ingeniero de Telecomunicación, Ciencias de la computación y energía eléctrica at Universidad Politécnica de Madrid
Spanish, English, German, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (78)
apache-spark10
python10
model-management10
mlflow10
ai10
dvc10
lifecycle10
incremental-learning10
machine-learning10
ml9
topic-modeling9
nlp9
pytorch9
sentence-embeddings9
natural-language-processing9
Programming languages (6)
Github contributions (5)
matallanas/mlopsNeoland
Feb 2020 - May 2022
Materials and code of the Neoland workshop
Contributions:3 commits, 1 PR, 2 pushes in 2 years 3 months
workshop
matallanas/whisper_gpt_pipeline
Oct 2022 - Dec 2022
A huggingface pipeline to train a gpt model based on the transcript obtained byt the Open AI whisper model
Contributions:4 reviews, 2 commits, 4 PRs in 2 months
nlpmodel-basedpipelinewhispermachine-learning
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