Korakot Chaovavanich

VP, AI Specialist at Kiatnakin Phatra Financial Group

Nonthaburi Province, Thailand
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Summary

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Korakot Chaovavanich is a VP and AI specialist with nine years of experience applying AI and NLP to real-world problems, currently leading AI efforts at Kiatnakin Phatra Financial Group. Trained at Cambridge in Computer Speech and Language Processing and with a strong electrical engineering foundation from Chulalongkorn, he bridges rigorous research and production engineering. His background spans industry and academia—from senior data science roles at True Digital Group to research positions at VISTEC and NECTEC—bringing both product-focused delivery and deep technical inquiry. An active open-source contributor, he has improved core components of PyThaiNLP (tokenization, normalization, trie structures), demonstrating hands-on expertise in Thai NLP that few financial AI leads possess. Based in Nonthaburi, Thailand, he continuously explores emerging AI techniques with a pragmatic eye toward societal impact.
code9 years of coding experience
job9 years of employment as a software developer
bookMaster of Philosophy (M.Phil.), Computer Speech and Language Processing, Master of Philosophy (M.Phil.), Computer Speech and Language Processing at University of Cambridge
bookBachelor’s Degree, Electrical Engineering, 3.62, Bachelor’s Degree, Electrical Engineering, 3.62 at Chulalongkorn University
languagesEnglish, Thai, pali
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Github Skills (39)

python10
image10
nlpjs10
natural-language-processing10
google-colaboratory10
jupyter-notebook10
nlp10
google-drive-api10
jupyter9
image-processing9
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Programming languages (11)

TypeScriptMDXJavaC++ShellRustJavaScriptSwift

Github contributions (5)

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PyThaiNLP/pythainlp

Apr 2019 - Oct 2020

Thai natural language processing in Python
Role in this project:
userBack-end Developer
Contributions:1 review, 6 commits, 2 PRs in 1 year 6 months
Contributions summary:Korakot contributed to the `pythainlp` repository by modifying core Python code related to Thai natural language processing. Their contributions included adding a tokenizer, fixing normalization rules to include edge cases, updating the trie data structure, and refactoring code by renaming variables. These changes improved the functionality and corrected bugs within the library.
nlpword-segmentationpythonthai-nlp-librarylanguage-processing
korakot/thainlp

May 2017 - May 2020

Contributions:21 commits, 19 pushes, 1 branch in 3 years
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