Ricardo Diaz
Principal AI ML Engineer at Pathward
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRicardo Diaz is a Principal AI/ML Engineer based in San Francisco with nine years of experience building production-grade ML systems across cloud and on-prem Kubernetes environments. He specializes in AI-driven automation, geoscience analytics, real-time data processing, and retrieval-augmented generation, with proven deployments in AWS and Azure that reduce operational inefficiencies. Ricardo has led cross-functional teams to deliver GenAI IT assistants and scalable ML pipelines, combining strengths in computer vision, NLP, and 3D image processing. His background spans fast-paced startups and enterprise engagements—securing contracts while translating research into practical, deployable solutions. Beyond product work, he mentors engineers and contributes to the AI community, reflecting a practical researcher mindset focused on impact and reliability. An engineer comfortable with both low-level model problems and end-to-end platform design, he often bridges domain expertise in geoscience with modern ML tooling.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Universidad Fermín Toro
Spanish, English
Github Skills (8)
tensorflow-lite3
nic3
mobilenet2
tensorflow2
keras1
deep-learning1
tflite1
neural-network1
Programming languages (2)
Github contributions (5)
ricardojdb/face-api
Mar 2019 - Jun 2019
Contributions:56 commits, 10 pushes in 3 months
ricardojdb/containerized-ml
Apr 2019 - Jun 2019
Contributions:41 commits, 30 pushes, 1 branch in 2 months
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