Brian Cajes
Cofounder, SVP And Head Of Data Platforms And Engineering At Empirico Inc.
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolBrian Cajes is an entrepreneurial technology leader with 13 years of experience building scalable distributed data systems and machine intelligence platforms to accelerate drug discovery. As Cofounder and SVP at Empirico he leads data platforms that translate massive clinical and genomic datasets into therapeutics designed to mimic protective human genetic variants. His background includes designing production-grade distributed infrastructures at Regeneron and early clinical-genomics decision support at Mount Sinai, blending algorithmic methods, graph analytics, and real-time systems. Early work at FactSet and startups sharpened his ability to productionize streaming ML and mentor engineering teams. He is a hands-on engineer who contributes to open-source quality efforts—improving test coverage in scikit-learn’s datasets module—underscoring a commitment to reliable, reproducible science. Based in San Diego, he pairs founder-level strategy with deep technical ownership across data, ML, and platform engineering.
13 years of coding experience
11 years of employment as a software developer
Computer Science, Computer Science at New York University - Polytechnic School of Engineering
Stackoverflow
3,334reputation
252kreached
50answers
0questions
Github Skills (18)
python10
testing10
scikit10
scikit-learn10
data-analysis8
machine-learning8
data-science7
numpy7
statistics7
mongodb6
pymongo6
pyramid6
nodejs6
virtualenv6
opencv6
Programming languages (5)
Github contributions (5)
scikit-learn/scikit-learn
Dec 2012 - Jan 2013
scikit-learn: machine learning in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits in 7 days
Contributions summary:Brian's contributions primarily focused on improving code coverage and adding tests within the `scikit-learn` library, specifically within the datasets module. They moved dataset imports within test functions to better handle import errors and added new tests for various dataset loading functions like `load_sample_images`, `load_digits`, `load_diabetes`, and `load_linnerud`. Furthermore, the user verified the shapes of the data returned by these dataset loading functions. These commits reflect a strong emphasis on testing and ensuring the quality of the datasets module.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
bcajes/titan-cookbook
Aug 2013 - Dec 2014
Chef cookbook for Titan distributed graph database (embedded w/ cassandra + elastic search)
Contributions:27 commits in 1 year 4 months
cookbookcassandraembedded-databaseelasticembedded-graph-database
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