Luke Orland
Machine Learning Infrastructure Engineer at Peloton Interactive
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLuke Orland is a Machine Learning Infrastructure Engineer with 18 years of experience building production-ready systems that span UNIX tooling, web apps, embedded audio systems, and large-scale ML infrastructure. He’s delivered MLOps and recommender systems at Newsela—containerizing services, automating retraining pipelines, and improving LLM prompt performance—while now applying that operational rigor at Peloton. Comfortable across Python, JVM languages, C, Bash, and cloud IaC, he bridges research-grade HLT work from Johns Hopkins with pragmatic engineering practices like dbt, Prefect, BentoML, and Terraform. Luke’s background in audio electronics and embedded prototypes gives him an uncommon hardware-aware perspective on software problems, and he’s known for being creative, sociable, and entrepreneurial-minded in cross-functional teams.
17 years of coding experience
19 years of employment as a software developer
Johns Hopkins UniversityBSEE Audio Engineering, BSEE Audio Engineering at University of Miami
spanish (intermediate)
Stackoverflow
2,041reputation
3.0mreached
10answers
2questions
mongodb
top-5%
python
top-5%
newline
top-5%
Github Skills (200)
dataflow10
python10
ruby10
vim10
automation10
infrastructure10
spacemacs10
orchestration10
prefect10
data-engineering10
melpa10
emacs-lsp10
emacs10
pipeline10
mechanical-turk10
Programming languages (12)
Github contributions (5)
opensprints/opensprints-comm
Dec 2009 - Oct 2014
Contributions:79 commits in 4 years 11 months
lukeorland/dots
Mar 2015 - Feb 2017
Contributions:82 pushes, 2 comments, 7 issues in 1 year 11 months
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