Summary
Terence Chew is a Computer Science undergraduate from the National University of Singapore and a Member of Technical Staff at DSO National Laboratories with eight years of industry and academic experience. He works at the intersection of computer vision and multi-agent reinforcement learning, having built PyTorch-based deep learning agents and experimented with value decomposition, duelling networks, and multi-head attention for autonomous systems. Terence has hands-on software engineering chops from mentoring student teams and teaching full SDLC practices as a TA and tutor, earning an Honor List distinction for teaching. Comfortable moving between research prototypes and production-minded engineering, he blends algorithmic rigor with pragmatic system design. Based in Singapore, he brings a researcher’s curiosity and an educator’s clarity to complex ML and software problems.
8 years of coding experience
Diploma with Merit Engineering Science, Diploma with Merit Engineering Science at Ngee Ann Polytechnic, School of Engineering
Beatty Secondary School
Bachelor's degree Computer Science, Bachelor's degree Computer Science at National University of Singapore
English, Chinese