Summary
Jintao Zhang is a machine learning software engineer with a PhD and 11 years of experience building scalable ML and deep learning systems across major tech companies including Meta, Square, Lyft, Zillow, and Microsoft. He specializes in multi-GPU training, GenAI, distributed systems, and production ML infrastructure—bridging research-grade models with reliable, automated deployment pipelines. His background in time series forecasting, anomaly detection, and big data platforms (Spark, Flink, Kubernetes, AWS) informs pragmatic solutions for high-throughput applications. Jintao also contributes to open-source tooling for DeFi yield calculation and protocol adapters, showing a knack for maintaining correctness and adapting to changing APIs. Known for turning complex ML research into production-ready systems, he blends strong academic training with hands-on engineering at scale in the Greater Seattle Area.
11 years of coding experience