Francis Montes
Software Engineer at Hugging Face
Madrid, Community of Madrid, Spain
Summary
🤩
Rockstar🎓
Top SchoolFrancis Montes is a seasoned software engineer with 12 years of experience building backend systems, DevOps infrastructure, and search-driven applications from Madrid. A co-founder of Argilla, he helped craft a collaborative dataset tool for AI engineers—contributing Elasticsearch integrations, partial record updates, and Dockerized deployment improvements—before joining Hugging Face in 2024. He brings deep expertise in Java/J2EE architecture, Elasticsearch, container management and reactive patterns, and has a track record of guiding tech choices and CI practices across large enterprise projects. Curious about functional programming and reactive architectures, he blends pragmatic engineering with startup grit and a knack for making complex data systems reliable in production.
12 years of coding experience
18 years of employment as a software developer
Ingeniería informática Computer Engineering, Ingeniería informática Computer Engineering at Universidad de Granada
English, French
Github Skills (29)
python10
amazon-elasticsearch10
elasticsearchquery10
aws-elasticsearch10
elasticsearch10
backend10
elasticsearch-api10
fastapi9
dockers9
cicd9
docker9
nlp8
automations8
api8
mlops8
Programming languages (7)
Github contributions (5)
argilla-io/argilla
Jan 2023 - Jan 2023
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:129 releases, 1837 reviews, 50 commits in 24 days
Contributions summary:Francis primarily focused on back-end development and infrastructure within the Argilla project. Their contributions included implementing an Elasticsearch connection check with retries on server startup and enabling partial record updates, indicating work related to data storage and API enhancements. Further, they modified the deployment scripts and Dockerfile, demonstrating DevOps skills related to setting up and configuring the application environment. The user also added functionality to allow passing raw Elasticsearch queries in search queries.
fairness-mlpythontext-annotationdeveloper-toolsnlp-datasets
recognai/rubrix
Jan 2021 - Jan 2023
A nice description for our new child, just wait for it!
Contributions:906 commits in 1 year 11 months
waitwait-for-itchild
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