Elias Hernandez
Data & Applied Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolElias Hernandez is a Data & Applied Scientist with a decade of experience building ML systems that turn real-time, unstructured signals into operational intelligence. Currently at Microsoft Azure, he focuses on Multi-Agent LLM systems and edge-to-cloud data intelligence for health and standards, translating research-grade ideas into production-safe deployments. His background spans technical program leadership, applied research at UC Berkeley, and product-grade AI consulting—where he has driven integrations that cut costs, consolidated engineering footprints, and multiplied service adoption. Elias combines rigorous applied-math training with hands-on engineering—he’s shipped psychometric and behavioral analytics tools used by universities and enterprise partners and built ML pipelines that saved subscription and operational costs. He’s equally comfortable mentoring students and executives, having taught Data-X to hundreds and delivered paid executive workshops that bridge AI and business context. Notably, his work often blends psychometrics, real-time data extraction, and agent-driven personas to surface useful signals from messy human systems.
10 years of coding experience
4 years of employment as a software developer
Applied Mathematics Industrial Engineering & Operations Research , Applied Mathematics Industrial Engineering & Operations Research at University of California, Berkeley
Spanish, English
Github Skills (8)
mining4
data-science2
bitcoin2
time-series2
nlp2
python2
data-mining2
finance2
Programming languages (2)
Github contributions (5)
ehcastroh/intro_DATAVIZ
Jul 2020 - Feb 2021
Contributions:5 commits, 4 pushes, 1 branch in 7 months
ehcastroh/Pardigm-RiskEx
Mar 2018 - May 2018
Contributions:18 commits, 6 PRs, 13 pushes in 2 months
nlpeventspythonminingtime-series-analysis
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