ML Ops (Machine Learning Operations) combines machine learning with DevOps to streamline model deployment and management in production environments. By leveraging ML Ops, businesses can streamline ML processes, reduce costs, and accelerate time-to-market for their ML applications.
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MLOps 101: A Primer on Machine Learning Operations
Recent projects
Built ML ops platform for public medical device company

Optimized deep learning pipelines for healthcare startup

Automated pricing strategy for a PE-owned insurance MGA

Optimized compute resources for public drug company

How Tribe can help
ML infrastructure
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Model monitoring and management
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Reproducibility & scalability
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Security & compliance
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CTO at Togal
ML at Adblock

Director of Data Science at Appen,
Researcher at Toyota

Engineer at Cityblock Health
Sr Engineer Flatiron Health

Led ML at ClearBrain , Amplitude

PhD from Cambridge University
Worked on NLP at Amazon Alexa
