Summary
Del bao is an ML Engineer with 13 years of experience building large-scale recommendation, search, and ads systems across GoodRx, Waymo, Pinterest, Yelp, and Yahoo. He owns end-to-end ML product work—from embedding and fine-tuning transformers to low-latency serving, streaming pipelines, and model evaluation—bridging research techniques with production constraints. At GoodRx he rebuilt semantic and hybrid search on Vertex AI, created a domain-tuned semantic cache with LoRA-fine-tuned MiniLM, and prototyped a multi-agent insurance chatbot now moving to production. His background in distributed storage and NoSQL (Cassandra, RocksDB, Elasticsearch) and real-time systems (Kafka, Flink, Spark) informs pragmatic architecture decisions for reliability and latency. Based in California, he combines deep systems engineering with practical MLOps expertise, often favoring parameter-efficient tuning and hybrid retrieval strategies to meet strict latency and trustworthiness requirements.
13 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at North Carolina State University
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Tianjin University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Tsinghua University
Beijing No. 55 High School
English, Chinese