Pamela Shapiro
NLP Researcher at Comcast
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolPamela Shapiro is an NLP researcher with eight years of experience focused on neural machine translation, particularly on improving the handling of morphological complexity and dialectal variation. She combines industrial research at Comcast with a strong academic background from Johns Hopkins (research assistant) and a Translate internship at Google, bringing both production-aware and cutting-edge research perspectives. Pamela’s earlier work at BBN contributed to information retrieval and speech-language projects, giving her a practical grounding in applied language technologies. Based in Denver, she holds a BS in Computer Science from the University of Chicago and is pursuing advanced NLP research informed by real-world deployment constraints. Notably, her profile blends deep linguistic concerns with engineering pragmatism—aiming to make translation systems more robust across forms of language variability.
8 years of coding experience
9 years of employment as a software developer
Johns Hopkins UniversityDiploma, AP/Honors Classes, Diploma, AP/Honors Classes at Belmont High SchoolBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at The University of Chicago
English, Arabic, Hebrew, Latin
Github Skills (4)
word2vec5
nlp5
python4
natural-language-processing4
Programming languages (1)
Github contributions (5)
pamelashapiro/OpenNMT-py
Feb 2018 - Apr 2018
Contributions:10 commits in 2 months
pamelashapiro/moore-lewis
Jul 2018 - Jul 2018
Contributions:1 push, 1 branch in 1 day
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