Jared Weed
Senior Software Engineer at Raytheon Technologies
Worcester, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolJared Weed is a Senior Software Engineer at Raytheon Technologies with a decade of experience building Python-based ETL, analytics, and automated evaluation platforms for complex defense systems, including missile guidance and interceptor studies. He pairs production-grade engineering with active PhD research in Computational Mathematics at UMass Lowell, focusing on advanced quadrature and numerical solvers for Yukawa, Maxwell, and Helmholtz equations in 2D and 3D. Jared has a strong background in ML and curriculum development from Udacity and practical hyperparameter optimization experience evidenced by contributions to Udacity’s machine-learning repo. A longtime educator and mentor, he regularly guest-lectures and designs lesson plans that bridge rigorous mathematics and applied machine learning for diverse audiences. Known for translating challenging technical questions into usable data products, he excels at making advanced analytics accessible to cross-functional engineering teams.
10 years of coding experience
2 years of employment as a software developer
Machine Learning Nanodegree, Machine Learning, Machine Learning Nanodegree, Machine Learning at UdacityBachelor of Science (B.S.), Computer Science, 3.96 GPA, Bachelor of Science (B.S.), Computer Science, 3.96 GPA at Wentworth Institute of TechnologyMaster of Science (M.S.), Applied Mathematics, 3.52 GPA, Master of Science (M.S.), Applied Mathematics, 3.52 GPA at Worcester Polytechnic InstituteUMass LowellBachelor of Science (B.S.), Mathematics; Minor of Computer Science, 3.86 GPA, Bachelor of Science (B.S.), Mathematics; Minor of Computer Science, 3.86 GPA at Fitchburg State University
English
Github Skills (8)
scikit10
hyperparameter-tuning10
machine-learning10
jupyter-notebook10
python10
scikit-learn10
evaluation9
eval9
Programming languages (1)
Github contributions (5)
udacity/machine-learning
Mar 2016 - Nov 2016
Content for Udacity's Machine Learning curriculum
Role in this project:
ML Engineer
ML EngineerContributions:165 commits, 170 PRs, 204 pushes in 8 months
Contributions summary:Jared's contributions involve integrating grid search functionality into a machine learning project. This is evident through code changes within a Jupyter Notebook related to Boston Housing Prices. The inclusion of grid search suggests an effort to optimize model hyperparameters. This focuses on improving model accuracy.
curriculumudacitydata-sciencemachine-learningcurriculum-learning
micheleorsi/machine-learning
Apr 2016 - Aug 2016
Contributions:22 commits in 3 months
curriculumudacitydata-sciencemachine-learningcurriculum-learning
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