Summary
Jacky C is a machine learning engineer based in Toronto with nine years of experience applying data engineering, causal inference, and ML to production-scale problems across finance, telecommunications, and research labs. He has driven end-to-end pipelines and dimensional data models in AWS and SQL Server, cutting delivery times from a week to under a day and enabling ML on 100+ million records. His research work at Huawei improved causal model accuracy to 96% and halved runtime in 100-million-user scenarios through sampling and HDBSCAN clustering. At the Vector Institute he built a LangChain/RAG-powered chatbot on Azure that lets users query and visualize SQL data in natural language, demonstrating a blend of research rigor and practical deployment. Now at Reddit, he continues to bridge applied research and production engineering, bringing strong feature engineering, performance optimization, and data-product sensibilities. He pairs a Master’s in Data Science & AI from Waterloo with hands-on experience across the full ML lifecycle, and often surfaces non-obvious causal signals to drive business impact.
9 years of coding experience
5 years of employment as a software developer
Software Engineering, Software Engineering at Northeastern University (CN)
Bachelor of Science Honours, High Honours in Computer Science, Bachelor of Science Honours, High Honours in Computer Science at University of Regina
Master of Data Science and Artificial Intelligence, Master of Data Science and Artificial Intelligence at University of Waterloo
English, Chinese