Xingyu Zhao
Research Assistant at Singapore-MIT Alliance for Research & Technology Centre
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolXingyu Zhao is a data-focused technologist with about three years of hands-on experience across data analysis, WebGIS development, and AI research support. Based in Singapore, he has contributed to transportation and enterprise BI projects using modern front-end stacks (Vue3, Mapbox, Cesium) and performed data mining and BI implementation for corporate clients. At the Singapore‑MIT Alliance he authored an AGI manual and iteratively designed evaluation questions, showing a research mindset that complements his product-oriented engineering work. He holds advanced studies in information systems and AI from institutions in Hong Kong and Singapore, and brings a practical blend of research insight and implementation discipline to cross-disciplinary teams. Unusually for someone early in their career, he pairs field GIS and visualization experience with AI evaluation design, making him effective at translating complex technical topics into usable solutions.
3 years of coding experience
1 year of employment as a software developer
Master of IT in Business, Artificial Intelligence, Master of IT in Business, Artificial Intelligence at Singapore Management UniversityBachelor of Engineering - BE, Earth Information Science and Technology, Bachelor of Engineering - BE, Earth Information Science and Technology at China University of Mining and Technology, BeijingHong Kong University of Science and Technology (HKUST)
Chinese, English
Github Skills (21)
model-compression10
binarization10
pruning10
quantization9
nlp8
backbone8
deep-learning8
machine-learning7
segmentation7
nas7
compression7
tensorrt6
re-identification6
transformer5
bert5
Programming languages (2)
Github contributions (5)
glow-ijcai/glow-ijcai.github.io
Mar 2024 - Aug 2024
Contributions:21 pushes, 1 branch in 4 months
Xingyu-Zheng/awesome-model-quantization
Jul 2023 - Sep 2023
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Contributions:11 pushes in 2 months
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