Gabriel Blázquez
Founding Engineer at Supersonik
Madrid, Community of Madrid, Spain
Summary
🤩
Rockstar🎓
Top SchoolGabriel Blázquez is a founding engineer and machine learning specialist with 8 years of experience designing production-grade ML systems and data pipelines from Madrid. He’s an expert Python developer who has built MLOps stacks, automated training pipelines, and scalable APIs for NLP and CV models using PyTorch, Kubeflow/Vertex, MLflow and FastAPI. At Frontiers he architected the MLOps platform behind AIRA and later contributed Vertex AI orchestration improvements to the popular open-source ZenML project. His background spans research and industrial deployments—from sensor-driven ETLs and OPC UA ingestion to GPU-backed model training—bringing both low-level engineering and system-level design to bear. Now a founding engineer at Supersonik after roles at Hugging Face and Argilla, he combines academic AI training with a practical track record of shipping robust, production ML services.
8 years of coding experience
5 years of employment as a software developer
MSc in Artificial Intelligence Computer Science, MSc in Artificial Intelligence Computer Science at Universidad Internacional de La Rioja Grado en Ingeniería Informática, Grado en Ingeniería Informática at Universidad de Salamanca
English, Spanish
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (20)
python10
gcp10
mlops10
pipeline10
vertex-ai10
mlflow9
kubernetes9
dockers9
docker9
kubernetes-pods9
tensorflow8
machine-learning8
devtools8
pytorch8
devops8
Programming languages (9)
Github contributions (5)
zenml-io/zenml
May 2022 - Oct 2022
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Role in this project:
MLOps Engineer
MLOps EngineerContributions:17 reviews, 8 commits, 12 PRs in 5 months
Contributions summary:Gabriel primarily contributed to the integration of ZenML with the Vertex AI platform, implementing and refining the `VertexOrchestrator`. Their work included adding core functionality for building and deploying pipelines on Vertex AI, such as incorporating `VertexOrchestrator`, container resource configurations, and GPU support. The user also addressed issues related to Databricks MLflow connections and Docker image builds, improving the overall usability and functionality of the ZenML platform.
devops-toolspythonproduction-readytensorflowproduction
gabrielmbmb/candle-holder
Nov 2023 - Nov 2024
A Rust crate offering similar functionality to the Python transformers package using Candle.
Contributions:2 PRs, 113 pushes, 1 branch in 1 year
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