Summary
Chulin Liang is a Machine Learning Engineer II based in London with eight years’ experience building production-grade ML systems, from research and model training to scalable deployment on Azure and AWS. At Expedia Group he designs and codes large-scale batch and real-time ML pipelines, and previously developed IP-grade NLP skills-mapping and video analytics solutions at Cognisess using PyTorch, Hugging Face, FastAPI and Docker. Comfortable across transformers, cross-modality models (CLIP, LXMERT), traditional ML and deep learning, he pairs rigorous theoretical knowledge with clean, production-ready code and CI/CD practices. He also brings practical data-engineering chops—Spark, Dask, Azure ML and SQL—and a knack for spotting emerging tools that improve observability and throughput. A first-class BE from Manchester and MSc credentials from Imperial College and Bath, he combines strong academic training with a demonstrated track record of shipping impactful ML products.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, First Class, Bachelor of Engineering - BE, Electrical and Electronics Engineering, First Class at The University of Manchester
Master of Science - MS, Eletronic Engineering, Merit, Master of Science - MS, Eletronic Engineering, Merit at Imperial College London
MSc Data Science, MSc Data Science at University of Bath
Chinese, Chinese, English