Christos Baziotis
Member Of Technical Staff at Cohere
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolChristos Baziotis is a machine learning researcher and engineer with a PhD in Artificial Intelligence from the University of Edinburgh and a decade of experience building and deploying NLP systems. He has blended research and production roles at Meta, Amazon, Samaya AI, and now Cohere, with publications and EMNLP/EACL–level work on multilingual translation and figurative language. Comfortable moving between research, internships, and hands-on engineering, he has driven parameter-efficient multilingual models and contributed to award-winning academic teams earlier in his career. Based in London, he pairs academic rigor with product-minded execution, having also co-founded cloud-native fintech tooling during his early software-engineering years. Notably, his internship project at Meta was accepted as an oral presentation at EMNLP 2022, reflecting reproducible, high-impact research that informs his applied ML work.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at The University of EdinburghMaster's Degree in Computer Science (M.Sc.) Business Intelligence, Master's Degree in Computer Science (M.Sc.) Business Intelligence at University of Piraeus
Greek, English
Stackoverflow
5,995reputation
1.0mreached
29answers
73questions
mysql
top-5%
sql-insert
top-5%
many-to-many
top-5%
relationship
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python
top-5%
Github Skills (153)
transformers10
language-model10
text-segmentation10
python10
emotion-recognition10
attention-mechanism10
seq10
word-segmentation10
deep-learning10
wordnet10
gpu10
text-processing10
sequence-to-sequence10
robotics10
twitter10
Programming languages (7)
Github contributions (5)
cbaziotis/ekphrasis
Feb 2017 - Sep 2022
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
Contributions:70 commits, 2 PRs, 66 pushes in 5 years 8 months
word-embeddingstokenizationtext-processingword-normalizationspell-correction
cbaziotis/neat-vision
Apr 2018 - May 2018
Contributions:61 commits, 52 pushes, 1 branch in 8 days
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