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Travis Hammond

Mid-level Machine Learning Research Engineer specializing in foundation models and GenAI

Johns Hopkins University Applied Physics LaboratoryJohns Hopkins UniversityMaryland4 Years ExperienceMid LevelWorks On-Site

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Experience

Machine Learning Research EngineerJohns Hopkins University Applied Physics Laboratory · Jun 2022 – Present
President, Data Science Club at Sac StateCalifornia State University-Sacramento · Aug 2021 – May 2023
Data Structures and Algorithms Course GraderCalifornia State University-Sacramento · Oct 2021 – May 2022
SMB Market Data Analytics InternIntel Corporation · May 2021 – Dec 2021internship
System Validation Engineering InternAruba, a Hewlett Packard Enterprise company · May 2020 – Nov 2020internship

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Education

Johns Hopkins Universitymaster, Artificial Intelligence (2025)
California State University, Sacramentobachelor, Computer Science (2023)

Awards

  • Summa Cum Laude - California State University-Sacramento

Languages

English

Publications

4 publications

Quantization-aware trainingLow-bit/ternary quantization for GPT architecturesAI-generated image detectionVision foundation model fine-tuningScientific machine learning toolingHeliophysics data analysisMulti-spacecraft/multi-viewpoint data interpolation

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Travis HammondMid-level Machine Learning Research Engineer specializing in foundation models and GenAI