Jing Toh
Lead AI Engineer at WISE AI
Selangor, Malaysia
Summary
👤
Senior🎓
Top SchoolJing Toh is a Lead AI Engineer with 10 years of experience driving R&D and productionization of computer vision and eKYC systems from Malaysia. At WISE AI she leads development of face anti-spoofing, 1:1 face recognition, document fraud detection and OCR, and pioneered the company's ISO 30107 Level 1 compliance for presentation attack detection. She combines hands-on model design and on-device inference (ONNX) with end-to-end deployment—REST APIs, message queues, Docker, cloud infra and SDKs across Web, Android and iOS—while building tooling for annotation, data pipelines and benchmarking. Jing has a strong background in visual tracking, monocular depth and embedded deployment from her robotics work, and early research experience scaling predictive models on 100M+ records. She’s pragmatic about cost and operations, having led a software team rebuild, implemented a legacy-to-object storage migration saving ~RM8,000/month, and mentors engineers to turn research into reliable products.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mathematical Sciences, Bachelor's degree, Mathematical Sciences at National Chengchi University馬來西亞麻坡中化中學
Chinese, English, 閩南語
Github Skills (31)
scikit-learn8
onnxruntime8
machine-learning8
hardware-acceleration8
onnx8
ai-framework8
pytorch8
ocr7
pdf7
tensorflow7
deep-learning7
siamese-network7
rabbitmq-client6
ai5
rabbitmq5
Programming languages (5)
Github contributions (5)
kai06046/opencv-tracker-interface
Apr 2017 - Sep 2017
Contributions:95 commits, 8 PRs, 55 pushes in 4 months
pythoncomputer-visiontrackeropencv-python
kai06046/labeler
Sep 2017 - Sep 2019
Contributions:1 PR, 31 pushes, 3 branches in 2 years
pythontkinterlabeling-toollabelingpython3
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