Richard Sear
Head Of Data Sr. Programmer & Data Administrator
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolRichard Sear is a Head of Data and senior programmer with eight years of experience blending applied machine learning, database administration, and software engineering at The George Washington University. He brings strong hands-on skills in Python, Java, and C and practical experience with TensorFlow and PyTorch to build reproducible research pipelines and production-ready data systems. A GWU Computer Science graduate with minors in Physics and Mathematics, he has progressed from undergraduate researcher to leading data operations, demonstrating rapid technical growth and institutional knowledge. His background includes external consulting and summer research roles (including Johns Hopkins), reflecting a habit of applying academic rigor to real-world problems. Known for translating complex models into maintainable data infrastructure, he often bridges research and operational teams to accelerate insight delivery.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at The George Washington University - School of Engineering & Applied ScienceValedictorian, Valedictorian at Wauwatosa West High School
Github Skills (40)
latent-dirichlet-allocation10
latent-semantic-analysis10
administration10
topic-models10
security9
cybersecurity9
natural-language-processing9
topic-modeling9
automation-framework9
nlp9
hyperparameter-tuning9
python8
automation8
hyperparameter-optimization8
orchestration-framework8
Programming languages (9)
Github contributions (5)
searri/CSCI-3907
Jan 2020 - May 2020
Spring '20 IoT - systems and security class. This is the collaborative half of the class.
Contributions:43 pushes, 1 branch in 3 months
spring-bootsecurityspringjavacollaborative
gwdonlab/ogm
Jul 2020 - Aug 2023
Package for using machine learning to analyze the behavior of online groups
Contributions:32 PRs, 74 pushes, 6 branches in 3 years 2 months
machine-learningldatopic-modelingwrapper
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