Summary
Yuhao Lu is a Senior Machine Learning Engineer with a decade of experience building production AI systems that integrate retrieval, reasoning, and ranking across recommender, multimodal, and agentic pipelines. He led the 0→1 design and deployment of a unified recommendation platform at GETTR serving 10M+ users—owning candidate generation through reranking and ads mixing—and drove a ~50% uplift in feed CTR. His work spans end-to-end ML lifecycle engineering: scalable feature pipelines (ASR, OCR, embeddings), MLOps, CI/CD, and reproducible training with Databricks and MLflow, plus real-time inference at scale. He has applied similar systems design to financial-document RAG and OCR at Desia and to real-time vision and ad models at G42, reflecting deep interdisciplinary strengths from CV to production ML. Yuhao is particularly interested in evolving static models into dynamic, feedback-driven systems and has experience building agentic orchestration tools (LangGraph) and experimentation platforms to enable that vision.
10 years of coding experience
10 years of employment as a software developer
Master of Information Technology, Information Technology, Data Mining, Robotics, Master of Information Technology, Information Technology, Data Mining, Robotics at The University of Queensland
Master of Cognitive and Computational Neuroscience, Cognitive Neuroscience, Computational Neuroscience, Mathematics, Master of Cognitive and Computational Neuroscience, Cognitive Neuroscience, Computational Neuroscience, Mathematics at The University of Sheffield
Bachelor of Medicine, Bachelor of Surgery (MBBS), Health/Medical Psychology, Statistics, Clinical Medicine, Surgery, Bioscience, Bachelor of Medicine, Bachelor of Surgery (MBBS), Health/Medical Psychology, Statistics, Clinical Medicine, Surgery, Bioscience at Soochow University (CN)
English, Chinese