Jorge Garcia
AI Engineer at Lazarus AI
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJorge Garcia is an AI engineer with 15 years of experience applying deep learning and Bayesian methods to time-series problems, currently focused on seismic data and leading AI work at Lazarus AI. He has a strong research-to-production track record from Sandia National Laboratories—building CNN ensembles that cut false negatives to 3%, generative models for data discovery that halved curation errors, and ETL/microservice pipelines that unlocked terabytes of time-series data. Comfortable across Python, PyTorch, Docker, and GCP, he pairs experimental rigor (Bayesian neural nets, uncertainty quantification) with pragmatic engineering (Kubernetes, REST/gRPC). A physicist by training, Jorge blends domain expertise in seismology and experimental design with open-source and Linux advocacy, and has a knack for automating workflows that save teams weeks of effort.
15 years of coding experience
6 years of employment as a software developer
Master of Science - MS Physics, Master of Science - MS Physics at New Mexico State University
English, Spanish
Github Skills (5)
code-editor4
apply4
rule3
rust3
pause3
Programming languages (1)
Github contributions (5)
jagg-ix/sicp_es
Mar 2011 - Oct 2016
Contributions:53 commits, 41 pushes, 1 comment in 5 years 7 months
jagg-ix/xv6-public
Aug 2016 - Sep 2016
Contributions:8 pushes, 2 branches in 1 month
operating-systemxv6linuxxv6-os
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