معرفی
Siinn Che is a Lecturer at the School of Information, University of California, Berkeley, teaching Machine Learning at Scale across multiple semesters. They also work as a Machine Learning Engineer at Apple, developing ML platforms for AI/ML systems, and previously held roles at Amazon and Meta focusing on scalable recommender systems for core products.
- PhD in Particle Physics, CERN
Their research and professional work spans Machine Learning Engineering, AI Research, Data Science, and Information Retrieval & Search, combining both academic and industrial expertise. At UC Berkeley, they bridge theoretical knowledge with practical applications in large-scale machine learning systems.
Siinn Che's academic background in particle physics at CERN involved experimental research on elementary particles, while their industry career focuses on deploying ML solutions in tech environments. They maintain office hours on Fridays (4:00 - 5:00 PM PT) and are accessible via their LinkedIn profile: linkedin.com/in/siinn-che/.
