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I am a Senior AI/ML Product Engineer focused on building AI features where search, reviews, business data, and real user decisions come together. I design and ship practical AI products with reliability and safety in production, emphasizing measurable impact and user trust. I bring a product-minded engineering approach to LLM applications, retrieval systems, review intelligence, and agentic workflows, with an emphasis on making AI useful, measurable, and safe in production. My strength is turning unstructured content and complex workflows into intelligent product experiences that users and internal teams can actually trust.…I am a Senior AI/ML Product Engineer focused on building AI features where search, reviews, business data, and real user decisions come together. I design and ship practical AI products with reliability and safety in production, emphasizing measurable impact and user trust. I bring a product-minded engineering approach to LLM applications, retrieval systems, review intelligence, and agentic workflows, with an emphasis on making AI useful, measurable, and safe in production. My strength is turning unstructured content and complex workflows into intelligent product experiences that users and internal teams can actually trust.

Kaisen Chen

AI Engineer, AI Developer, Full Stack Developer, +5

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I am a Senior AI/ML Product Engineer focused on building AI features where search, reviews, business data, and real user decisions come together. I design and ship practical AI products with reliability and safety in production, emphasizing measurable impact and user trust. I bring a product-minded engineering approach to LLM applications, retrieval systems, review intelligence, and agentic workflows, with an emphasis on making AI useful, measurable, and safe in production. My strength is turning unstructured content and complex workflows into intelligent product experiences that users and internal teams can actually trust.…I am a Senior AI/ML Product Engineer focused on building AI features where search, reviews, business data, and real user decisions come together. I design and ship practical AI products with reliability and safety in production, emphasizing measurable impact and user trust. I bring a product-minded engineering approach to LLM applications, retrieval systems, review intelligence, and agentic workflows, with an emphasis on making AI useful, measurable, and safe in production. My strength is turning unstructured content and complex workflows into intelligent product experiences that users and internal teams can actually trust.

Available to hire

I am a Senior AI/ML Product Engineer focused on building AI features where search, reviews, business data, and real user decisions come together. I design and ship practical AI products with reliability and safety in production, emphasizing measurable impact and user trust.

I bring a product-minded engineering approach to LLM applications, retrieval systems, review intelligence, and agentic workflows, with an emphasis on making AI useful, measurable, and safe in production. My strength is turning unstructured content and complex workflows into intelligent product experiences that users and internal teams can actually trust.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Senior AI/ML Product Engineer at Yelp

June 1, 2014 - March 1, 2026

Built and maintained production software for Yelp's consumer and business platform, enabling large-scale product experiences across local search, business discovery, reviews, advertising, merchant workflows, user-generated content, internal tools, and operational systems. Implemented backend and full-stack components using Python, Java, JavaScript/TypeScript, SQL, REST APIs, and service integrations, with data models, analytics pipelines, and user-facing web applications. Drove data-rich product systems where structured business data, reviews, location context, user intent, behavioral signals, ranking/relevance signals, product metrics, and operational logs influenced product quality and user experience. Designed API-accessible product workflows supporting multi-step user journeys, workflow state, backend action endpoints, service orchestration, human-in-the-loop review, and safe operational handoffs. Built foundations for AI patterns including RAG, vector search, embeddings, and agent

Research Software Engineer at Stanford University School of Medicine

July 1, 2010 - January 1, 2021

Developed and maintained research software for cognitive and systems neuroscience studies using Python, MATLAB, Bash, and reproducible analysis tools. Built data-processing workflows to collect, clean, validate, transform, organize, and analyze structured experimental and behavioral data. Applied NumPy, Pandas, SciPy, MATLAB analysis workflows, statistical computing, and signal/data processing to produce analysis-ready datasets. Translated research requirements into practical software supporting study protocols, participant/session workflows, experiment outputs, metadata handling, task results, and analysis handoffs. Automated repetitive research workflows for data cleaning, organization, preprocessing, validation, transformation, and reproducible computation. Ensured data correctness, metadata consistency, reproducibility, traceability, and workflow reliability critical to research quality. Built cloud-AI-transferable research workflows relevant to Vertex AI, SageMaker, Azure ML, and