Summary
Jiang He is a Machine Learning Engineer with 9 years of hands-on experience building and deploying end-to-end ML systems across healthcare, robotics, environmental acoustics, and consumer audio. He has driven large-scale healthcare projects—harmonizing multi-modal data for 950k+ patients, scaling LLM workflows with LoRA and vLLM for 12× faster fine-tuning and 10× faster inference, and deploying models into major cancer centers. Jiang also brings practical robotics and audio expertise, from 30× speed-ups in pointcloud perception for industrial robots to a deployed CRNN app used by 1,000+ parents for infant vocalization tracking. Equally comfortable in research and production, he has published peer-reviewed work, presented internationally, and mentored engineering teams while owning backend service implementations with FastAPI and PostgreSQL. Based in Greater Vancouver with an MEng from the University of Toronto, he combines a systems-focused engineering mindset with a demonstrated ability to translate complex ML into real-world impact.
9 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng, Computer Engineering, Master of Engineering - MEng, Computer Engineering at University of Toronto
English, Japanese, Chinese, French