Nathaniel Dake
Associate
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolNathaniel Dake is an Associate based in Boulder with nine years of experience at the intersection of data science, machine learning, software engineering, and applied mathematics. He has built end-to-end ML systems and production data pipelines across startups and engineering teams, including ML-led underwriting at Seel and serverless ETL and optimization work at Uplight. His background spans research-grade signal processing and robotics work to practical product deployments, reflecting an ability to move projects from algorithm design to user-facing production. Nathaniel writes about probability, recurrent neural networks, and applied math on his technical blog, which sheds light on his communication style and problem-solving approach. He brings a pragmatic focus on performance and cost-efficiency—optimizing compute-heavy processes and production throughput—while maintaining a strong foundation in experimental design and statistics.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Mechanical Engineering & Physics, Bachelor of Science (BS), Mechanical Engineering & Physics at Northeastern University
Github Skills (16)
statistics6
jupyter-book6
machine-learning4
deep-learning4
probabilistic-programming4
bayesian-methods4
data-science4
probabilistic4
python4
tensorflow4
jupyter-notebook3
jupyter3
science3
ipywidgets2
mvp1
Programming languages (1)
Github contributions (5)
NathanielDake/intuitiveml
Nov 2017 - Jul 2022
Contributions:840 commits, 3 PRs, 578 pushes in 4 years 8 months
NathanielDake/YourForum
Feb 2017 - Mar 2017
Contributions:26 pushes, 41 branches in 1 month
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