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David Yamamoto

@davidyamamoto

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Senior AI/ML engineer specializing in LLM-powered products, RAG pipelines, and production AI systems.

United States

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What I'm looking for

I seek roles building production LLM features and conversational AI, collaborating cross-functionally, emphasizing reliability, scalability, and measurable user impact.

I am a Senior AI/ML engineer with 10+ years building LLM-powered products and conversational AI systems, experienced in translating cutting-edge models into production-grade features that drive measurable user impact.

I have designed and implemented RAG pipelines, embeddings, prompt engineering practices, model evaluation frameworks, and monitoring systems while optimizing latency and throughput for large-scale deployments on Kubernetes and cloud platforms.

I collaborate closely with product, UX, and engineering teams, mentor engineers, and author internal guidelines to ensure reproducibility, safety, and robust production ML standards.

Experience

Work history, roles, and key accomplishments

Senior AI/ML Engineer

Databricks

Jun 2021 - Dec 2025 (4 years 6 months)

Designed and productionized LLM-powered features and conversational AI systems, built RAG pipelines and embedding stores, and reduced latency/throughput bottlenecks while ensuring model reliability and safety.

Prompt Engineering RAG Embeddings Python Kubernetes Monitoring Model Evaluation Vector Databases

AI/ML Engineer

Google

May 2018 - May 2021 (3 years)

Developed predictive and NLP models and LLM prototypes for high-traffic products, implemented embeddings and multi-turn pipelines, and drove A/B testing and monitoring to improve output quality and reliability.

NLP LLM Embeddings Python A B Testing API Integration Model Evaluation

Data Scientist

Bitwise Industries

Jun 2014 - Mar 2018 (3 years 9 months)

Built ETL pipelines and NLP/ML models for AI-powered applications, improved ETL and query performance by 30–40%, and supported deployment of conversational features into production.

ETL Python SQL NLP Spark