Summary
Weilong Liu is a Quantitative Developer based in Singapore with 12 years of experience building and supporting enterprise-grade applications and scalable architectures. He blends full-stack engineering and big data expertise—Hadoop, Spark, Kafka—with quantitative modeling work at Cubist Systematic Strategies since 2018. His background includes research engineering at SUTD and enterprise development at Visa, giving him a strong mix of research rigor and production discipline. Currently pursuing an MSc in Computer Science at NUS with a specialization in AI, he focuses on applying machine learning to large-scale data pipelines. Notably, he couples formal academic training with hands-on system design, enabling practical deployment of complex analytics in low-latency trading environments.
12 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (B.E.), Information System Technology and Design, 4.3/5.0, Bachelor of Engineering (B.E.), Information System Technology and Design, 4.3/5.0 at Singapore University of Technology and Design (SUTD)
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at Free Code Camp
Master’s Degree, Computer Science, Master’s Degree, Computer Science at National University of Singapore
English, Chinese