Nathaniel Hawkins
Key Account Manager at ODU-USA
Sherwood, Oregon, United States
Summary
👤
Senior🎓
Top SchoolNathaniel Hawkins is a technical innovation and business leader with nine years in product and account management and over two decades of engineering and R&D experience across medical, aerospace, and connectivity industries. He excels at turning deep hands-on technical knowledge—from materials and manufacturing to electronics and sterilization—into fast, market-ready product portfolios and long-lived installed-base solutions. As a manager he has led cross-functional teams up to 55 people, shipping multimillion-dollar programs including surgical cable systems, aircraft seating, and spinal implants while driving certification and supply-chain decisions. Known as an energizer and analyzer, he pairs rapid ideation with rigorous root-cause problem solving and process acceleration to extract maximum ingenuity from teams. Educated in biomedical engineering with executive business training at Duke and MIT Sloan, he uniquely blends lab-level invention and patent-driven product development with commercial strategy and key account leadership.
9 years of coding experience
25 years of employment as a software developer
MBA, Business, MBA, Business at Duke University - The Fuqua School of BusinessHigh School, High School at West Windsor Plainsboro High SchoolContinuing Executive Education, Intelligent Organizations: Collaboration and the Future of Work, Continuing Executive Education, Intelligent Organizations: Collaboration and the Future of Work at MIT Sloan School of ManagementBS, Biomedical Engineering, BS, Biomedical Engineering at Washington University in St. Louis
spanish, french, italian
Github Skills (20)
annotations9
simulation9
agent-based-modeling9
simulation-framework9
mesa9
agent-based-simulation9
gis9
nlp8
modeling8
cellular-automata8
unstructured8
latent-dirichlet-allocation8
topic-modeling7
language-processing7
fairness-ml7
Programming languages (4)
Github contributions (5)
krishnanlab/txt2onto
Apr 2021 - Dec 2021
Code for classifying unstructured text to tissue ontology terms using natural language processing and machine learning.
Contributions:28 commits, 1 PR, 24 pushes in 7 months
nlpfairness-mlannotationsword-embeddingslanguage-processing
nathawkins/PHY480MSU
Jan 2017 - Apr 2017
Contributions:2 PRs, 84 pushes, 3 branches in 3 months
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