Robert Kyle
Senior Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRobert Kyle is a Senior Data Scientist based in San Francisco with 11 years of experience building production-ready ML systems across healthcare NLP, insurance pricing, vehicle telematics, and e-commerce lifetime value modelling. He blends deep learning and classical statistics—ranging from CNNs and LSTMs to survival analysis and reinforcement learning—and has taken models from R&D into petabyte-scale production using tools like Spark, TensorFlow, Kafka, and AWS. Comfortable as a full-stack engineer, he builds end-to-end pipelines and real-time scoring services, and has hands-on experience with sensor fusion, behavior-based pricing engines, and marketing spend optimization. He also hires and leads teams, advocating an enabling management style that celebrates wins while mentoring technical growth. Academically trained with a PhD in Computational Neuroscience and an MSc in Cognitive Science/NLP, he keeps abreast of research and rapidly prototypes new techniques into measurable business impact. A preference for large-scale data and a background spanning theoretical physics to computational neuroscience give him a rare combination of principled modeling and practical deployment experience.
11 years of coding experience
MSc, Cognitive Science and Natural Language Processing, Honours with Distinction, MSc, Cognitive Science and Natural Language Processing, Honours with Distinction at The University of EdinburghBSc, Theoretical Physics, 1st class Honours, BSc, Theoretical Physics, 1st class Honours at The University of Manchester
Stackoverflow
1reputation
0reached
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Github Skills (30)
caffe9
machine-learning9
deep-learning9
data-science7
pytorch7
resize-images7
sql7
crop-image7
sql-database7
python7
database7
duckdb6
embedded-database6
jpeg6
png6
Programming languages (3)
Github contributions (5)
shuggiefisher/brain4k
Jan 2015 - Apr 2015
Contributions:74 commits, 40 pushes, 2 branches in 2 months
shuggiefisher/imagenet-feature-extraction
Jan 2015 - Apr 2015
Contributions:18 commits, 10 pushes, 2 branches in 2 months
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