Dakota Killpack
United States
Summary
👤
SeniorDakota Killpack is the Director of Machine Learning at Predata with 11 years of experience translating research-grade ML into operational products. A rogue music theorist turned data scientist, he applies unsupervised structure-discovery methods to symbolic music and large unstructured datasets, pursuing human-understandable organization from patterns in music, user behavior, and online discourse. He leads ML efforts in a production setting while continuing doctoral research on hierarchical recurrent patterns, blending deep academic rigor with pragmatic engineering. His background spans prototype systems in Clojure, Scala, Spark and streaming architectures, and earlier work exploring genetic algorithms for music composition and ontological rule engines for financial compliance. Comfortable operating above his formal expertise, he has a track record of turning abstruse theory into deployable analytics that reveal surprising, interpretable structure in complex data.
11 years of coding experience
Github Skills (19)
python9
scientific-computing8
numpy8
property-graph7
streamlit6
redisgraph6
machine-learning6
data-analysis5
opencypher5
developer-tools5
data-visualization5
cypher5
deep-learning5
graph5
data-science5
Programming languages (2)
Github contributions (5)
zkillpack/billboardparser
Jun 2015 - Jun 2024
Contributions:13 pushes, 2 branches in 9 years 1 month
zkillpack/OMR
Feb 2015 - Jun 2015
Contributions:10 commits, 10 pushes, 1 branch in 3 months
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