Emily Barry
Founding AI ML Engineer at Soffi
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolEmily Barry is a Founding AI/ML Engineer with a decade of experience delivering production-scale machine learning systems across healthcare, legal, and enterprise domains. She spans the full ML lifecycle—exploratory analysis and modeling to MLOps, observability, and platform tooling—and has architected systems processing tens of millions of records with distributed PySpark/EMR infrastructure. A co-inventor on a US patent for a query-driven predictive lookup methodology, she also developed novel NLP and temporal topic modeling approaches for legal text presented at international conferences. Emily combines hands-on engineering with product-facing consulting, currently shaping multi-agent design systems and program evaluations while on a focused specialization sabbatical. She’s known for turning complex pipeline and debugging workflows into repeatable, test-covered developer experiences that empower junior engineers. Based in San Francisco, she pairs rigorous engineering craft with a curiosity for physical computing and applied research projects bridging software, hardware, and visualization.
10 years of coding experience
7 years of employment as a software developer
B.A., Economics, International Relations, B.A., Economics, International Relations at University of California, Davis
Spanish
Stackoverflow
111reputation
23kreached
1answer
0questions
Github Skills (18)
annotations2
python1
machine-learning1
yelp1
text-classification1
llm1
data-labeling1
data-quality1
data-validation1
data-science1
image-classification1
structured-data1
data-profiling1
computer-vision1
automl1
Programming languages (3)
Github contributions (5)
emilyinamillion/supreme-court-topics-overtime
Jun 2016 - Jun 2022
Contributions:35 commits, 4 PRs, 30 pushes in 6 years 1 month
emilyinamillion/dsp
Dec 2015 - Apr 2016
Contributions:134 pushes, 3 comments in 3 months
preparationpythonsciencedata-sciencemachine-learning
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