Andrianos Michail

Co-Founder & Al Scientist at University of Zurich

Zurich, Zurich, Switzerland
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Summary

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Rockstar
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Top School
Andrianos Michail is a PhD candidate in Computational Linguistics at the University of Zurich and co-founder of LamnAI, where he builds B2B IR, IE, RAG and document digitization solutions—currently deployed for the Cyprus Bar Association. With eight years of experience spanning academic research, teaching advanced ML/NLP modules, and industry internships at Thomson Reuters, Amazon and Thought Machine, he bridges cutting‑edge research and production-grade systems. His work focuses on applying modern NLP pipelines (including transformer‑based models and LLMs) to news, parliamentary and legal texts, and he has hands‑on experience turning research prototypes into commercial RAG/IR products. He routinely supervises MSc coursework and shared-task submissions, reflecting a talent for distilling recent research into practical curricula and code.
code8 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computational Linguistics / NLP, Doctor of Philosophy - PhD, Computational Linguistics / NLP at University of Zurich
bookBachelor of Science - BSc, Artificial Intelligence and Computer Science, Bachelor of Science - BSc, Artificial Intelligence and Computer Science at The University of Sheffield
languagesEnglish, Greek, German
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Github Skills (33)

sentence-embeddings10
multilabel-classification10
benchmark10
neural-search10
sentence-transformers10
evaluation10
retrieval10
barrage10
information-retrieval10
multimodal10
text-classification10
semantic-search10
sts10
bug-reporting10
bert10

Programming languages (5)

SystemVerilogTeXHTMLJupyter NotebookPython

Github contributions (5)

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Practical Tutorials for the Machine Learning for Natural Language Processing 1 Class in the University of Zurich for the Fall Semester of 2025
Contributions:106 pushes, 1 branch in 2 years 2 months
machine-learningnatural-language-processing
Contributions:19 pushes in 3 years 1 month
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