Summary
Daniel Leung is a software engineer based in London with 10 years of experience blending machine learning, statistics, and production software engineering. He has a strong ML pedigree (MSc CSML, Distinction from UCL) and a track record of turning research and models into production: from publishing and presenting academic work to building scalable ML pipelines on GCP, Airflow, Docker and BigQuery that handled 110+TB of sales data. At J2-Reliance he improved forecasting accuracy by up to 45% using CatBoost and PyTorch and also delivered supply-chain optimisation and interactive dashboards for business users. Now at DRW he continues to apply quantitative engineering in a high-performance trading environment, bringing both research rigor and practical deployment skills. Comfortable across the stack, he pairs deep statistical insight with hands-on cloud and DevOps experience, and has a history of accelerating operational rollout (e.g., reducing deployment times in prior engineering internships).
10 years of coding experience
2 years of employment as a software developer
Hong Kong Diploma of Secondary Education, Hong Kong Diploma of Secondary Education at C.C.C. Heep Woh College
Bachelor of Science - BS, Computer Science and Information Engineering (CSIE), 91.77/100 (GPA: 3.88/4.0) [After major transfer: 94.46/100], Bachelor of Science - BS, Computer Science and Information Engineering (CSIE), 91.77/100 (GPA: 3.88/4.0) [After major transfer: 94.46/100] at National Taipei University of Technology
University College London
English, Chinese, Chinese, Chinese