Oliver Pringle
Software Engineer, Machine Learning at Meta
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolOliver Pringle is a full-stack machine learning engineer with 9 years of experience building NLP and personalization systems, currently driving ML efforts at Meta from Vancouver. He combines practical production engineering—AWS distributed training, model deployment, and Postgres-backed data design—with research-grade sequence models like bi-directional LSTMs for NER and CNNs for sentence classification. His background spans startups, founding a product-focused company, and enterprise work in personalization at lululemon, giving him a strong sense for shipping customer-facing ML features. Trained in mechanical engineering and data science (University of Bath and UBC), he brings a systems-oriented mindset to ML problems, often surfacing data infrastructure needs that unlock product scale.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at University of BathMaster’s Degree, Master of Data Science, Master’s Degree, Master of Data Science at The University of British Columbia
English, French
Github Skills (79)
mobile-development10
dataflow10
python10
windows10
mxnet10
deep-learning10
firebase10
javascript10
app-framework10
skia10
dart10
julia10
cross-platform10
scala10
go10
Programming languages (8)
Github contributions (5)
opringle/multivariate_time_series_forecasting
Dec 2017 - Apr 2018
A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
Contributions:39 commits, 33 pushes, 1 branch in 3 months
deep-learningmxnetpython
opringle/VDCNN-for-text-classification
May 2018 - Aug 2018
Contributions:57 commits, 49 pushes, 3 branches in 3 months
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