Summary
Kedi X is a Senior Machine Learning Engineer based in San Jose with five years of experience building production ML systems across recommender, security, and financial QA domains. A Carnegie Mellon AI master's student and former TikTok engineer, Kedi has optimized large-scale ads ranking and worked on next-gen recommender infrastructure while also leading ML pipeline and drift-detection efforts in cloud security at Lacework. Their research background includes WWW’23 publications on user behavior and a RAG/knowledge-graph system for financial QA, reflecting strength at the intersection of NLP, LLM/VLM experimentation, and robust engineering. They teach LLM systems tooling—having implemented an autograd framework and optimized kernels—and bring a practical knack for moving research into production. Notably, Kedi blends deep academic rigor with hands-on deployment experience, and describes themselves succinctly on GitHub as a “Professional cat,” hinting at a playful curiosity behind focused technical work.
5 years of coding experience
3 years of employment as a software developer
Tsinghua University
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Carnegie Mellon University