Wilasinee Paewboontra
Master Degree Student at Thammasat University- Claim this Profile
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Bio
Credentials
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Certificate of Participation Shopee Code League 2020 (Student Category)
ShopeeAug, 2020- Oct, 2024
Experience
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Thammasat University
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Higher Education
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700 & Above Employee
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Master Degree Student
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Aug 2019 - Present
- Research a lightweight Convolutional Neural Network (CNN) and Mask-RCNN models for classifying rose apple species and detecting their skin defect.- Develop data labeling tools.
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Research Assistant
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Jun 2019 - Jan 2021
- Develop foot scanner systems (machine and desktop application).
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Bizcuit Solution
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Thailand
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Research Services
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1 - 100 Employee
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Software Engineer (Machine learning and IoT development)
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Jul 2021 - Dec 2022
- Design and develop a machine vision system on an edge computing device. - Provide real-time vision analytics for achieving business goals. - Provide features to maximize usefulness and improve ML models performance on production. (such as ML parameters fine-tuning) - Design and develop a ML deployment pipeline. For making sure that ML models have a speedy and accurate performance while on production. - Quickly fix production issues to deliver a continuous operation system. - Mainly work in Computer Vision (Object detection, Object tracking, and CNN) field. - Create API for providing ML analytic services. (FastAPI, Flask, and Docker) - Optimize ML models performance.
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Shopee
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Singapore
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Technology, Information and Internet
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700 & Above Employee
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workshop participant
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Jun 2020 - Aug 2020
- Apply Convolutional Neural Network (CNN) model for image classification and BERT model for sentiment analysis. - Preprocess structure and unstructure data before feed to ML models. - Apply Convolutional Neural Network (CNN) model for image classification and BERT model for sentiment analysis. - Preprocess structure and unstructure data before feed to ML models.
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Education
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Thammasat University
Master's degree, Computer Engineering -
Thammasat University
Bachelor's degree, Electrical and Electronics Engineering