Summary
Louis Wang is an ML tech lead specializing in recommendation systems, LLMs, and multi-agent AI with nine years of experience across high-scale consumer and enterprise products. He currently leads core recommendations at Netflix, driving homepage generative ranking with efficient linear transformers, LLM-derived user profiles, and multimodal content embeddings. Previously at Snap he built generative retrieval, RAG pipelines, and multimodal LLMs for content discovery while optimizing transformer kernels for production efficiency. His background includes financial NLP and GNN work at Capital Group, product recommendation at Best Buy, and an early entrepreneurial track record as a co-founder who grew a platform to multimillion RMB revenue. Trained in CS and data science at Georgia Tech and Emory, he blends research-grade model design with pragmatic infra and ML optimization to ship real-world recommender systems. Colleagues describe him as someone who bridges deep model innovation and production constraints, often surfacing non-obvious gains from model architecture and sequence engineering.
9 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Master of Science - MS, Data Science, Machine Learning, Master of Science - MS, Data Science, Machine Learning at Emory University
Bachelor's degree, Management Information Systems, General, Bachelor's degree, Management Information Systems, General at Sun Yat-sen University
Chinese, engilsh, Japanese