Meisin Lee

GenAI Specialist at Women in AI

Selangor, Malaysia
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Summary

👤
Senior
🎓
Top School
Meisin Lee is a GenAI specialist with 11 years of experience blending academic rigor and industry delivery, currently building rapid POCs and AI solutions at Experian. She has a strong research background in NLP, LLMs, finance- and economics-focused text, and speech/audio processing, with multiple conference publications and awards from her PhD at Monash. Previously she operationalized LLM evaluation frameworks, AI guardrails, RAG chatbots and agent-based systems at Maybank and led human-in-loop AI projects as a research fellow. Meisin mentors junior engineers and drives cross-functional collaboration, translating complex research into fit-for-purpose production features. As Treasurer of Women in AI Malaysia she champions diversity in AI, an active role that complements her technical leadership. A not-obvious strength: she combines computational logic training from European masters programs with pragmatic banking and project-management experience from Shell, making her adept at both rigorous modeling and stakeholder-driven delivery.
code11 years of coding experience
job1 year of employment as a software developer
bookVienna University of Technology
bookMaster's degree Computational Logic, Master's degree Computational Logic at Free University of Bozen-Bolzano
bookBachelor of Science (BSc) Hons. Information Technology, Bachelor of Science (BSc) Hons. Information Technology at Multimedia University
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Monash University
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Github Skills (17)

datasets7
vue6
natural-language-processing6
python6
nlp5
nuxt5
machine-learning5
classification4
evaluation-framework4
deep-learning3
pytorch3
data-labeling3
word-embeddings3
text-annotation3
text-classification3

Programming languages (3)

C++PHPPython

Github contributions (5)

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Contributions:106 commits, 104 pushes, 1 branch in 1 year 2 months
meisin/Bible_ChatBot

Feb 2024 - Apr 2024

Contributions:69 pushes, 9 branches, 1 comment in 1 month
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