Lorenzo Rubio
Senior Specialist Solution Architect at Databricks
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolLorenzo Rubio is a Senior Specialist Solution Architect at Databricks with 11 years of hands-on experience building data platforms, streaming pipelines and ML-enabled applications. He combines deep engineering chops—from Spark, PySpark and AWS to production-grade MLOps—with a product-minded approach honed across media, telecom and consulting environments. Lorenzo has led end-to-end projects ranging from real-time event scaling for the Olympic Channel to predictive analytics and optimization work at Deloitte/Conento, and now helps customers design Lakehouse roadmaps and deliver resilient workloads. An early contributor to the NLTK project, he has improved Python 2.7 compatibility and added utilities such as json-to-csv conversion, reflecting a practical open-source mindset. Known as a lifelong learner who enjoys both low-level detail and system-level design, he also brings training in emotional intelligence to his client-facing and coaching roles. Based in Madrid, he pairs technical depth with a track record of turning complex requirements into usable, production-ready solutions.
11 years of coding experience
17 years of employment as a software developer
Postgraduate Emotional Intelligence, Postgraduate Emotional Intelligence at HUNE - Universidad AlcaláArtificial Intelligence Nanodegree, Artificial Intelligence Nanodegree at UdacityUniversitat Politècnica de València
Spanish, English, French
Stackoverflow
3,927reputation
478kreached
129answers
11questions
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jersey
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Github Skills (19)
python10
nltk10
natural-language-processing10
encoding10
nlp10
jersey9
aggregate9
twitter9
csv9
grouping6
sqlalchemy6
authorization6
http-header6
server-sent-events6
java6
Programming languages (5)
Github contributions (5)
nltk/nltk
Apr 2015 - Aug 2015
NLTK Source
Role in this project:
Back-end Developer
Back-end DeveloperContributions:65 commits, 23 PRs, 24 comments in 4 months
Contributions summary:Lorenzo primarily contributed to improving the NLTK library's compatibility with Python 2.7, addressing issues related to the `super()` function and encoding for CSV file writing. They implemented a `UnicodeWriter` for CSV files and modified existing code to ensure proper encoding handling. Furthermore, they made corrections to the streaming functionality, specifically related to error handling and parameter adjustments. The user also added functionality for date limits in streaming requests and expanded the utility functions by adding functions for json to csv conversion.
nlppythonmachine-learningnltknatural-language-processing
lrnzcig/sisifoR
Feb 2016 - Sep 2018
Contributions:14 commits, 10 pushes, 1 branch in 2 years 7 months
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