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.
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
Model monitoring and management
Reproducibility & scalability
Security & compliance
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