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I'm a Senior AI/ML Engineer with 10+ years of experience designing, developing, and scaling production-grade machine learning systems across cloud-native, enterprise, and high-performance environments. I specialize in NLP, distributed training, deep learning, MLOps automation, data engineering, and GPU-accelerated model serving. I thrive on turning prototypes into robust, scalable solutions, leading end-to-end ML pipelines, and collaborating with cross-functional teams to drive business impact. I enjoy mentoring engineers, making data reliable, and optimizing systems for performance and cost efficiency at scale.…I'm a Senior AI/ML Engineer with 10+ years of experience designing, developing, and scaling production-grade machine learning systems across cloud-native, enterprise, and high-performance environments. I specialize in NLP, distributed training, deep learning, MLOps automation, data engineering, and GPU-accelerated model serving. I thrive on turning prototypes into robust, scalable solutions, leading end-to-end ML pipelines, and collaborating with cross-functional teams to drive business impact. I enjoy mentoring engineers, making data reliable, and optimizing systems for performance and cost efficiency at scale.

DAVID JOHN YAMAMOTO

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm a Senior AI/ML Engineer with 10+ years of experience designing, developing, and scaling production-grade machine learning systems across cloud-native, enterprise, and high-performance environments. I specialize in NLP, distributed training, deep learning, MLOps automation, data engineering, and GPU-accelerated model serving. I thrive on turning prototypes into robust, scalable solutions, leading end-to-end ML pipelines, and collaborating with cross-functional teams to drive business impact. I enjoy mentoring engineers, making data reliable, and optimizing systems for performance and cost efficiency at scale.…I'm a Senior AI/ML Engineer with 10+ years of experience designing, developing, and scaling production-grade machine learning systems across cloud-native, enterprise, and high-performance environments. I specialize in NLP, distributed training, deep learning, MLOps automation, data engineering, and GPU-accelerated model serving. I thrive on turning prototypes into robust, scalable solutions, leading end-to-end ML pipelines, and collaborating with cross-functional teams to drive business impact. I enjoy mentoring engineers, making data reliable, and optimizing systems for performance and cost efficiency at scale.

Available to hire

I’m a Senior AI/ML Engineer with 10+ years of experience designing, developing, and scaling production-grade machine learning systems across cloud-native, enterprise, and high-performance environments. I specialize in NLP, distributed training, deep learning, MLOps automation, data engineering, and GPU-accelerated model serving.

I thrive on turning prototypes into robust, scalable solutions, leading end-to-end ML pipelines, and collaborating with cross-functional teams to drive business impact. I enjoy mentoring engineers, making data reliable, and optimizing systems for performance and cost efficiency at scale.

Skills

Experience Level

Expert

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Intermediate

CSS

Intermediate

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Databricks

January 1, 2021 - Present

Designed and optimized large-scale distributed data pipelines using Spark and Delta Lake to process billions of records. Improved data processing latency by 40% through partitioning, caching, and adaptive query execution. Built end-to-end ML systems spanning ingestion, feature development, training, validation, deployment, and monitoring. Implemented drift detection, regression analysis, and data quality checks integrated into CI/CD. Architected GPU-accelerated inference environments on autoscaled Kubernetes clusters, reducing inference latency by 30% and increasing throughput by 20%. Led architectural reviews, enforced ML reliability standards, and mentored 12+ engineers. Achieved 99.98% workflow reliability and standardized ML templates across product teams.

AI/ML Engineer at Google

January 1, 2018 - January 1, 2021

Developed NLP classification, ranking, and prediction models powering high-traffic Google products. Improved model relevance by 8–12% through feature engineering and iterative tuning. Built and optimized Dataflow/Beam pipelines for petabyte-scale data, and reduced BigQuery latency by 60% via improved partitioning and pipeline parallelism. Created real-time anomaly and drift monitoring dashboards, conducted A/B experiments, and produced production-ready, low-latency systems. Authored ML reliability guidelines and collaborated across engineering, research, UX, and infrastructure.

Software Engineer / Data Scientist at Bitwise Industries

January 1, 2014 - January 1, 2018

Designed and managed ETL pipelines for cleansing, transformation, and analytics across diverse data sources. Improved SQL and ETL performance by 30–40% via schema redesign, indexing, and query optimization. Developed ML models for forecasting, churn prediction, anomaly detection, and classification use cases. Automated reporting workflows reducing delivery time by 70% and created real-time dashboards enabling faster decision-making. Collaborated with engineers and analysts to modernize data infrastructure and improve reliability. Mentored junior team members in Python, SQL, and early-stage ML concepts.