Piyawat L Kumjorn
Summary
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SeniorPiyawat Lertvittayakumjorn is a research scientist at Google with 11 years of experience bridging academic rigor and applied ML, holding a Ph.D. from Imperial College London where he worked on explainable AI, natural language processing, and machine argumentation. His work focuses on making AI more effective and trustworthy for real-world deployment, with past projects spanning human-AI collaboration, knowledge-graph repair, and AI-supported decision making in healthcare regulation. He has experience in both industry and academia, including research roles at Royal Holloway and a virtual internship at AWS on conversational AI. A strong foundations builder, he combines top-tier academic training (MSc with distinction) and high-achieving undergraduate performance with hands-on prototyping from web apps to stream outlier detection. Based in Mountain View, he pairs deep research expertise with practical engineering instincts that accelerate translating interpretability research into production-relevant systems.
11 years of coding experience
Github Skills (19)
grasp9
convolutional-neural-networks9
text-classification9
classifiers9
knowledge-graph8
natural-language-processing8
google8
debugging7
natural-language-understanding7
deep-learning7
nlp7
tensorflow6
bert6
pre-trained-model6
interpretable-machine-learning6
Programming languages (6)
Github contributions (5)
plkumjorn/FIND
Sep 2020 - Nov 2020
Codes for the EMNLP 2020 paper -- "FIND: Human-in-the-loop Debugging Deep Text Classifiers"
Contributions:63 commits, 57 pushes, 2 branches in 1 month
classifiersdebuggingtext-classificationconvolutional-neural-networkshuman-in-the-loop
plkumjorn/GrASP
Feb 2021 - Aug 2022
An implementation of GrASP (Shnarch et. al., 2017)
Contributions:62 commits, 1 PR, 33 pushes in 1 year 6 months
grasp
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