Alexander Wettig
Research Scientist at Cursor
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 Information Engineering, Master of Engineering - BA & MEng Information Engineering at University of CambridgeDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
Github Skills (49)
transformers10
pytorch10
memory-efficient10
python10
machine-learning-models10
machine-learning10
inference10
multimodal10
training-data10
numpy10
llm10
audio10
deep-learning10
gpu10
natural-language-processing10
Programming languages (6)
Github contributions (5)
princeton-nlp/QuRating
Feb 2024 - Dec 2025
[ICML 2024] Selecting High-Quality Data for Training Language Models
Contributions:24 pushes, 1 branch, 4 comments in 1 year 10 months
language-model
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
fine-tuningkernellanguage-model
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