László Laki

Senior Natural Language Processing Engineer

Budapest, Hungary
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Summary

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Senior
🎓
Top School
László Laki is a Senior Natural Language Processing Engineer with a Ph.D. in machine translation and over a decade of experience building production-grade MT and LLM systems across academia and industry. He architected the translator backend at Globalese—covering model training, XLIFF translation, cloud integration and recent ChatGPT augmentations—and introduced innovations like subword-based XML tag replacement, domain adaptation workflows, and GPT-boosted terminology extraction that measurably improved translation quality. In parallel he leads development at the Research Institute for Linguistics, driving Hungarian-centric LLM work including a monolingual 6B GPT3 and a trilingual GPTrio model, plus instruction-tuned variants and LLAMA-index experiments for intelligent search. Now at memoQ, he combines research rigor with product-focused engineering to deploy domain-adapted, scalable NLP features for real-world localization workflows. Notably, his work bridges legacy statistical MT expertise and modern transformer/LLM approaches, making him adept at lifting research models into operational translation pipelines.
code10 years of coding experience
job13 years of employment as a software developer
bookMSc, Natural Language Processing, MSc, Natural Language Processing at Katholieke Universiteit Leuven
bookDoctor of Philosophy (PhD), Information Technology, Doctor of Philosophy (PhD), Information Technology at Pázmány Péter Katolikus Egyetem
languagesEnglish, French, Hungarian
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Github Skills (29)

pos-tagger5
lua5
python5
translation5
machine-translation4
neural-machine-translation4
morphological-analysis4
gpu4
cuda4
deep-learning3
nlp3
text-mining3
lemmatization3
lda2
language-processing2

Programming languages (5)

JavaC++LuaJupyter NotebookPython

Github contributions (5)

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Python and Lua tutorials
Contributions:11 pushes in 1 year 6 months
luapython
Contributions:2 pushes, 2 branches, 3 tags in 1 day
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