Summary
Kay W is a data engineer with eight years' experience applying analytics, AI/ML, and software engineering to streamline business processes across finance and technology. Currently at Hudson River Trading after quantitative development roles at Squarepoint and GIC, Kay combines production-grade pipeline design (Airflow, Kedro, MLflow) with strong scripting in Python, PySpark, SQL and KDB+/Q. A seasoned educator and communicator—teaching applied machine learning, assisting intensive software bootcamps, and writing widely read technical articles—Kay turns complex ideas into teachable, production-ready solutions. Known for optimizing workflows end-to-end, they pair tooling expertise (Docker, Jenkins, OpenShift) with optimization and simulation experience (AMPL, ExtendSim) to squeeze performance gains. Having completed 100+ e-learning courses and contributed to both industry and academia, Kay blends a growth mindset with proven results in high-stakes, values-driven environments.
8 years of coding experience
6 years of employment as a software developer
Asian Leadership Programme China of China, Asian Leadership Programme China of China at Zhejiang University
Bachelor of Engineering (Engineering Systems and Design) Financial Services Focus Track, Bachelor of Engineering (Engineering Systems and Design) Financial Services Focus Track at Singapore University of Technology and Design (SUTD)
Master of Computing Computer Science, Master of Computing Computer Science at National University of Singapore
English, Chinese, Chinese