Huang Ying
Machine Learning Engineer at Imperial College London | National University of Singapore| Université de technologie de Compiègne
Singapore
Summary
👤
Senior🎓
Top SchoolHuang Ying (Simon) is a Machine Learning Engineer and AI science leader with nine years of experience bridging applied research and production engineering, currently based in Singapore. As a senior manager at IMDA's Digital Services Lab he leads teams that translate deep learning and data analytics into real-world public-sector and industry solutions, drawing on a strong research pedigree in belief function theory and medical data analysis. His background spans advanced semiconductor and solar-cell R&D—where he led device/yield improvements and novel texturing techniques—giving him uncommon depth in hardware-aware data problems. He combines PhD-level analytical rigor with hands-on process engineering and team leadership, and is known for turning academic IP into deployable systems.
9 years of coding experience
14 years of employment as a software developer
Master of Science, Microelectronics, CPA 4.44, Master of Science, Microelectronics, CPA 4.44 at Nanyang Technological UniversityGraduate certificate (management of technology), Engineering/Industrial Management, Graduate certificate (management of technology), Engineering/Industrial Management at National University of Singapore
Github Skills (23)
shape-recognition7
unet-image-segmentation7
hash6
segmentation6
pointnet6
classification6
visual-recognition5
keras5
retrieval5
image-processing4
image-retrieval4
image-segmentation4
deep-learning4
computer-vision4
point-cloud4
Programming languages (4)
Github contributions (5)
heudiasyc/Evidential-neural-network-for-lymphoma-segmentation
Jan 2022 - Dec 2022
Contributions:28 commits, 24 pushes, 1 branch in 10 months
heudiasyc/Evidence-fusion-with-contextual-discounting
Jun 2022 - Oct 2022
Contributions:17 commits, 16 pushes, 1 branch in 4 months
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