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Xingtai Li

@xingtaili1

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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

Current

Sr. Machine Learning Engineer

Current

Adobe

Oct 2021 - Present (4 years)

Built generative AI models (Firefly) and LLM-based assistants, optimizing diffusion training/inference to scale to 7B+ creations and delivering secure, production-ready generative workflows used by millions.

Generative AI LLMs Diffusion Models MLOps Kubernetes PyTorch Model Monitoring LLM

Sr. Software Engineer

Nordstrom

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.

MLOps Kubernetes Docker MLFlow Airflow Kafka Spark Flink CI CD Prometheus

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.

Spark Kafka TensorFlow Impala Computer Vision RESTful APIs

Education

Degrees, certifications, and relevant coursework

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

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.