Pablo López-garcía
Adjunct Professor at DeepLife
Zaragoza, Aragon, Spain
Summary
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Senior🎓
Top SchoolPablo López-garcía is an adjunct professor and staff data engineer with over a decade of experience building production-grade data and AI platforms at the intersection of biomedical research and engineering. He holds a PhD in Semantic Web and Biomedical Informatics and has led large-scale projects—from a biomedical knowledge graph with billions of triples at Exscientia to scalable multi-omics and clinical-study pipelines at CBmed and DeepLife. Comfortable in early-stage startups and research centers alike, he repeatedly joins critical phases to design foundations, migrate fragmented infrastructures into unified AWS/Kubernetes stacks, and operationalize workflows with Argo and Nextflow. He combines hands-on cloud engineering (IaC, CI/CD, containerization) with domain expertise in biomedical terminologies and causal single-cell models, and even maintains a multi-node bare-metal homelab to prototype self-hosted AI inference. He also teaches and built an AI-powered automated assessment platform that reduced grading effort by ~90%, illustrating a practical bent for tooling that scales both research and education.
11 years of coding experience
13 years of employment as a software developer
M.Sc., Computer Engineering, M.Sc., Computer Engineering at Universidad de ZaragozaPhD, Semantic Web / Biomedical Informatics, PhD, Semantic Web / Biomedical Informatics at EHU
Spanish, English, German
Stackoverflow
101reputation
0reached
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Github Skills (31)
medicine9
batch-processing9
k8s9
cloud-native8
machine-learning8
gitops8
kubernetes8
data-engineering7
edtech7
argo-workflows7
argo7
hpa7
workflow-engine7
airflow7
mlops7
Programming languages (5)
Github contributions (5)
plopezgarcia/trec-2018-precision-medicine
Jun 2018 - Aug 2018
Contributions:65 commits, 60 pushes, 1 branch in 1 month
plopezgarcia/plos2015
Aug 2015 - Aug 2018
Contributions:4 pushes, 1 branch in 3 years
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