About
Applied AI, computer vision, and software engineering.
I work where perception research meets software architecture: enough depth to reason about the model, enough breadth to ship the system around it.
Most of my time goes to problems where a model alone is not the answer — where the data path, the latency budget, the alerting behavior, and the interface all decide whether the result is actually useful.
I care about work that leaves evidence. Architecture that can be explained, decisions that record their rejected alternatives, and results that can be measured rather than asserted.
Across the model–product boundary.
Technologies
PythonTypeScriptJavaScriptPyTorchGCPn8nLangChainLangGraphFastAPIKerasTensorFlowNext.jsExpressNode.jstailwindCSS