Soon Chang
LLM Engineer at University of Malaya
Federal Territory of Kuala Lumpur, Malaysia
Summary
👤
Senior🎓
Top SchoolSoon Chang is an LLM engineer and PhD candidate in Artificial Intelligence at Universiti Malaya with nine years of hands-on experience bridging research and applied ML. His work specializes in model compression for multimodal Transformer models, and he currently engineers LLM systems at YTL AI Labs while continuing research on pruning large multimodal models. With an academic foundation in electronic engineering (BEng) and a Master of Engineering Science, he brings practical IoT and embedded-systems experience—Arduino, Raspberry Pi and on-device ML—from earlier research roles into scalable ML workflows. He has built end-to-end prototypes including anomaly detection for assisted living and a deployed face-recognition attendance system, highlighting a knack for turning research into production-ready proofs of concept. Based in Kuala Lumpur, Soon blends deep research rigor with pragmatic engineering, often focusing on making large models efficient enough for real-world, resource-constrained environments.
9 years of coding experience
1 year of employment as a software developer
Master of Engineering Science - MEngSc, Master of Engineering Science - MEngSc at Multimedia UniversitySPM, SPM at SMK Taman Bukit Maluri
Github Skills (33)
dialog10
facebook9
multimodal9
clip9
computer-vision8
pytorch8
evaluation8
modular8
deep-learning7
openai-api6
chatbot5
foundation-models5
chatgpt5
openai4
claude4
Programming languages (1)
Github contributions (5)
soonchangAI/pyLinearProgramming
Nov 2016 - Dec 2023
Contributions:1 push, 1 branch in 7 years 2 months
soonchangAI/logistic-regression-scratch-iris
Mar 2018 - Dec 2023
Contributions:11 pushes, 1 branch in 5 years 9 months
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