Xingtai Li

I am a senior machine learning engineer with deep experience designing and maintaining foundational ML infrastructure for large-scale products. I specialize in building end-to-end pipelines, deploying generative AI, and optimizing production models to deliver measurable business impact.

At Adobe I supported production ML services for Photoshop’s cloud, leveraging Kubernetes, Apache Spark, and CUDA to ensure high availability and low-latency inference for millions of monthly requests. I iterated on model performance, deployed generative features, and streamlined model deployment workflows.

Previously I designed and deployed a machine learning platform at Nordstrom to enable online and offline ML at scale, and developed predictive models for personalization and recommendation. At Allstate I built production-grade pipelines with Spark, Kafka, and Impala and automated feature engineering to accelerate deployments.

I combine software engineering, MLOps, and data engineering skills to create reliable, scalable systems. I focus on pragmatic solutions that reduce latency, improve robustness, and accelerate time-to-production for ML teams.