现代职场的人工智能素养

关于课程作者

Roger Chen

Software Engineer, Meta

For Roger, the interesting part of artificial intelligence begins after the experiment succeeds. His work has involved turning research prototypes into dependable software: packaging language and vision models behind production APIs, building distributed data and feature pipelines, automating training and deployment, and monitoring accuracy, latency, drift, and infrastructure cost once systems are live. He has contributed to recommendation engines, document-understanding tools, forecasting services, and generative-AI applications using Python, C++, PyTorch, cloud platforms, and containerized infrastructure. Equally comfortable profiling an inference bottleneck, reviewing model behavior with data scientists, or explaining tradeoffs to a product team, Julian specializes in closing the distance between a promising model and a product people can actually rely on.