Stephanie Kirmer
Staff Machine Learning Engineer at Various
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolStephanie Kirmer is a Staff Machine Learning Engineer with 11 years of experience designing and shipping ML-driven features for early and mid-stage startups across logistics, privacy, and cloud platforms. She excels at translating business needs into production-ready models and infrastructure—building everything from CatBoost and PyTorch models to containerized model serving and real-time performance dashboards. Known as “the sales team’s favorite engineer,” she bridges product, customer-facing teams, and engineering to increase adoption and trust in ML systems. An experienced public speaker and former adjunct faculty, she regularly teaches and publishes on applied ML, MLOps, and responsible AI, and contributes to practitioner tooling such as distributed PyTorch workstreams. Based in Chicago, she couples technical depth with a commitment to equity in tech and practical, measurable business impact.
11 years of coding experience
10 years of employment as a software developer
University of KansasM.A. Social and Cultural Foundations of Education, M.A. Social and Cultural Foundations of Education at DePaul UniversityMA Sociology, MA Sociology at Portland State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (38)
ddp10
madlibs10
snowflake9
classifier9
scalable8
python8
sql8
lime7
machine-learning7
dask7
printing6
parallel6
r6
pretty-print6
data-science6
Programming languages (6)
Github contributions (5)
skirmer/elastic_analytics
Nov 2018 - Oct 2019
Contributions:17 commits, 23 pushes, 1 branch in 11 months
saturncloud/dask-pytorch-ddp
Nov 2020 - Apr 2021
dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
Contributions:6 releases, 22 reviews, 63 commits in 4 months
pytorchpytorch-modelspythonparallelclusters
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