Alexander Wettig
PhD Candidate
United States
Summary
🤩
Rockstar🎓
Top SchoolAlexander Wettig is a PhD candidate at Princeton specializing in natural language processing with nine years of software engineering experience and prior internships at Google and Man AHL. He blends rigorous academic research with practical systems experience, having spent consecutive summers at Google building scalable software and production-minded prototypes. Trained at Cambridge with an MEng, he brings strong engineering fundamentals and a penchant for bridging theory and implementation. His GitHub affiliation with princeton-nlp signals active engagement in cutting-edge NLP research and tooling beyond coursework. Colleagues describe him as someone who quickly turns complex research ideas into reproducible code and thoughtful experiments. He balances deep technical focus with an ability to ship robust, real-world software.
9 years of coding experience
1 year of employment as a software developer
Master of Engineering - BA & MEng, Master of Engineering - BA & MEng at University of CambridgeDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Princeton University
Github Skills (63)
transformers10
pytorch10
language-model10
python10
acceleration10
machine-learning10
seq2seq10
flax10
numpy10
tensorflow10
deep-learning10
gpu10
bert10
natural-language-processing10
autograd10
Programming languages (5)
Github contributions (5)
princeton-nlp/DinkyTrain
Apr 2022 - Oct 2022
Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
Contributions:15 commits, 1 push, 3 comments in 6 months
nlpkernelprincetondeepspeedbert
princeton-nlp/LM-Kernel-FT
Oct 2022 - Jan 2023
A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
Contributions:14 commits, 11 pushes in 3 months
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