Explore practical AI use cases with working prototypes
Develop prototypes informed by demonstrated work in healthcare, forecasting, classification, computer vision, and generative AI.
Start a conversationWhat matters
Evaluating whether an AI concept can be implemented
Selecting an appropriate modeling approach for a use case
Creating an interface that demonstrates model behavior
Benefits
Practical prototyping across multiple applied AI domains
Model development combined with software implementation
Experience with traditional machine learning, neural networks, and generative AI
Evidence
Built an AI medical assistant for assisted differential diagnosis based on the Uganda Clinical Guidelines
Developed forecasting, academic success, used-car pricing, insurance, and mushroom classification projects
Created a Stable Diffusion walkthrough from theoretical foundations to implementation
Questions
Which applied AI areas has Silver worked in?
Demonstrated projects cover healthcare AI, forecasting, classification, regression, computer vision, and generative AI.
Interested?
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