Peter Christensen
Applied Scientist at Amazon Web Services (AWS)
Copenhagen, Capital Region of Denmark, United States
Summary
👤
Senior🎓
Top SchoolPeter Christensen is an applied scientist with nine years of experience bridging academic ML/NLP research and production-scale agentic systems. Currently at AWS he helped launch Amazon Quick Suite, applying rigorous scientific evaluation to enterprise agentic workflows after a PhD at the University of Copenhagen’s BelongieLab focused on narrative-aware approaches to misinformation. His background spans top labs and universities (UC Berkeley, DTU) and roles from internships to postdoc work, giving him a rare mix of hands-on engineering, teaching, and research. Known for turning research insights into practical automation features, he combines deep probabilistic and language expertise with experience operationalizing models in cloud environments.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Københavns Universitet - University of CopenhagenBachelor of Science (B.Sc.), Mathematics and Technology, Bachelor of Science (B.Sc.), Mathematics and Technology at Danmarks Tekniske UniversitetTechnical University of Denmark
Danish, English
Github Skills (13)
chainer5
jekyll5
semantic-parsing5
recurrent-neural-networks4
lstm-neural-networks4
pytorch4
reimplementation4
deep-learning3
python3
natural-language-processing3
language-model1
sql1
numpy1
Programming languages (3)
Github contributions (5)
CaptainE/Deep-Unsupervised-Learning
Sep 2019 - Nov 2019
Contributions:23 commits, 21 pushes in 2 months
CaptainE/CaptainE.github.io
Nov 2019 - Jan 2025
A content-first, sliding sidebar theme for Jekyll.
Contributions:112 pushes in 5 years 2 months
sidebar-themesidebarjekylljekyll-themesliding
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