Summary
Jianing Sun is a Senior Machine Learning Engineer with 8 years of experience building production-grade ML systems and research-driven models across industry and telecom at companies like Pinterest, Layer 6 AI, and Huawei. He leads end-to-end projects from self-supervised representation learning for large-scale financial time-series to fraud detection and recommender systems, and has multiple first-author publications and patents bridging research and deployed products. Jianing is experienced in cloud and infra tooling (Azure, AWS, Databricks, Kubernetes) and has a track record of accelerating ML adoption through automation and scalable model serving. Notably, his deployed recommender work at Huawei improved online metrics for tens of millions of users and his recent work focuses on foundational time-series models for transaction data. Based in Toronto, he pairs rigorous academic training from McGill with hands-on production engineering, often owning both model innovation and the delivery pipeline.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Electrical Engineering, Bachelor of Engineering - BE Electrical Engineering at University of Science and Technology Beijing
Master's degree (Full-time Thesis) Computer Engineering, Master's degree (Full-time Thesis) Computer Engineering at McGill University
French, English, Chinese