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Xingtai Li

@xingtaili1

Senior Machine Learning Engineer specializing in GenAI, LLMs, and production MLOps.

United States
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What I'm looking for

I seek roles building production-grade GenAI and MLOps systems, driving end-to-end model development, scalability, and responsible deployment in collaborative, engineering-driven teams.

I am a Senior Machine Learning Engineer with 8+ years building and deploying large-scale AI systems across generative, predictive, and real-time domains, combining research innovation with production-grade engineering to deliver measurable impact.

I have led development of generative models, LLM orchestration, and cloud-native MLOps—optimizing diffusion training, implementing RAG and multi-agent systems, and building end-to-end ML platforms that power millions of users while improving deployment speed, reliability, and personalization.

Experience

Work history, roles, and key accomplishments

Nordstrom logoNO

Sr. Software Engineer

Sep 2019 - Oct 2021 (2 years 1 month)

Built Nordstrom's core ML platform to automate training, deployment, and monitoring, reduced deployment time from weeks to minutes, and delivered real-time pipelines powering recommendations and fraud detection for millions of users.

CO

Machine Learning Engineer

Confidential

Jul 2017 - Sep 2019 (2 years 2 months)

Built large-scale Spark/Kafka ML pipelines for insurance pricing, fraud, and claims prediction, implemented real-time risk scoring and CV models that reduced claim cycle time by 40% and automated inspections.

Education

Degrees, certifications, and relevant coursework

University of California, Davis logoUD

University of California, Davis

Master of Science, Computer Science and Statistics

2015 - 2017

Completed a master's program combining computer science and statistics with coursework and projects focused on machine learning and data analysis.

University of Wisconsin-Madison logoUW

University of Wisconsin-Madison

Bachelor of Science, Biological System Engineering

2011 - 2015

Earned a bachelor's degree in Biological System Engineering with coursework in engineering principles and quantitative analysis applied to biological systems.

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