Tannon Kew
NLP Data Scientist And Linguistic Application Engineer
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolTannon Kew is an NLP Data Scientist and Linguistic Application Engineer with eight years of experience applying computational linguistics to real-world research and product problems, currently building NLP solutions at the University of Zurich’s LiRI. He holds a PhD in Computational Linguistics where he developed methods for controllable text generation and worked extensively on pre- and post-training of LLMs, dialogue modelling, text simplification and machine translation with publications at ACL and EMNLP. Tannon bridges research and practice—liaising with domain scientists across biodiversity, political science and biomedicine to deliver production-ready pipelines, client-facing prototypes and knowledge-transfer workshops for non-technical stakeholders. His background as a language teacher and work on low-resource and historical language resources informs a pragmatic, user-centered approach to multilingual NLP. Notably, he has led projects customizing LLMs via post-training and retrieval-augmentation to evaluate domain-specific generation quality and enable access for non-technical teams.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Arts (B.A.), Germanic Languages, Literatures, and Linguistics, Bachelor of Arts (B.A.), Germanic Languages, Literatures, and Linguistics at University of AdelaideCELTA, Teaching English as a Second or Foreign Language/ESL Language Instructor, CELTA, Teaching English as a Second or Foreign Language/ESL Language Instructor at University of CambridgeScandinavian Languages, Literatures, and Linguistics, Scandinavian Languages, Literatures, and Linguistics at University of OsloMaster's degree, Multilingual Text Analsysis / Computational Linguistics, Master's degree, Multilingual Text Analsysis / Computational Linguistics at University of Zurich
English, German, Norwegian
Github Skills (83)
transformers10
language-model10
python10
flax10
deep-learning10
sequence-to-sequence10
convert10
conformer10
ctc10
transformer10
nlp10
jax10
artificial-intelligence10
docx10
seq2seq10
Programming languages (6)
Github contributions (5)
tannonk/llm_inference
Feb 2023 - Mar 2023
LLM inference with HuggingFace (experimental)
Contributions:25 reviews, 59 commits, 20 PRs in 28 days
tannonk/fairseq
Jul 2020 - Sep 2022
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Contributions:2 PRs, 44 pushes, 11 branches in 2 years 2 months
nlpsequencepythonmachine-learningfacebook
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