Daniel O'Keefe
Senior Machine Learning Engineer at Saab, Inc.
Florida, United States
Summary
👤
Senior🎓
Top SchoolDaniel O'Keefe is a Senior Machine Learning Engineer with eight years of experience building production-ready ML solutions for defense and aerospace clients. He has advanced from data scientist work at NAVAIR—where he created a Python library for maintenance and flight data, built downtime forecasting and anomaly detection models, and helped migrate data platforms to AWS—to senior ML roles at RDW Technologies and Saab. Comfortable spanning the stack from data engineering to model deployment, he focuses on practical, interpretable models that drive operational decisions. Based in Florida, he pairs an Industrial Engineering background from the University of Florida with hands-on experience in NLP and time-series forecasting for complex systems. Notably, he blends engineering rigor with cross-team collaboration, frequently presenting results to enterprise stakeholders to move models into use.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Industrial Engineering, Bachelor's degree, Industrial Engineering at University of Florida
Github Skills (5)
momentum4
trading4
trading-bot3
backtesting-trading-strategies3
algorithmic-trading2
Programming languages (1)
Github contributions (5)
DanOKeefe/Machine-Learning-Notes
Feb 2020 - Feb 2024
Contributions:17 pushes, 1 branch in 3 years 11 months
DanOKeefe/danokeefe.github.io
Aug 2020 - Mar 2024
Contributions:166 pushes, 1 branch in 3 years 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.