Guillermo Fernández
Senior Data Engineer
Leinster, Ireland
Summary
👤
Senior🎓
Top SchoolGuillermo Fernández is a Senior Data Engineer based in Leinster, Ireland with 12 years of experience building cloud-native data platforms and ML pipelines, primarily on Azure and Databricks. He combines hands-on engineering—Terraform, Azure DevOps, Databricks migrations and automated testing—with a strong background in real-time architectures, ETL and large-scale Spark processing. At Trūata he focuses on Databricks/Azure solutions and previously led recommender system work and TB-scale data moves at SolidQ, where he also taught BI, DAX and ML. An active open-source contributor, he improved performance and robustness of the Sentencizer in the jina-ai/serve repo, showing attention to algorithmic detail and edge-case testing. He holds an Engineer’s degree with an Excellence Award and a Master in Business Intelligence & Analytics, blending rigorous academic training with practical production delivery. Colleagues know him for a pragmatic, performance-first approach to ML infrastructure and a playful passion for neural networks that belies serious technical discipline.
12 years of coding experience
5 years of employment as a software developer
Engineer's degree, Computer Engineering, Excellence Award, Engineer's degree, Computer Engineering, Excellence Award at Universitat d'AlacantMaster in Business Intelligence & Analytics, Master in Business Intelligence & Analytics at SolidQ
Spanish, English, Japanese
Github Skills (10)
application-framework10
app-framework10
web-framework10
nlp10
python10
testing9
machine-learning8
generative-ai7
docker6
dockers6
Programming languages (9)
Github contributions (5)
jina-ai/serve
May 2020 - May 2020
☁️ Build multimodal AI applications with cloud-native stack
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 2 PRs, 6 comments in 1 day
Contributions summary:Guillermo primarily contributed to the `jina-ai/serve` repository by improving the `Sentencizer` component, a text processing tool. Their contributions included fixing a logical error, enhancing documentation, and significantly optimizing the performance of the `Sentencizer` by refactoring the algorithm for sentence splitting. They also added tests to demonstrate specific features and edge cases of the sentencizer, ensuring the tool's behavior and reliability.
opentelemetryllm-inferencecreative-aigrpcproduction
guiferviz/pynand
Jan 2023 - Aug 2024
Logic circuit simulator. Building a computer from NAND gates.
Contributions:2 releases, 4 PRs, 16 pushes in 1 year 7 months
gatescircuitslogic-circuitcircuitsimulation
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