Incident Lab
Built a local incident investigator with real MCP tool calls, evidence-linked proposals, approval-gated simulation, and inspectable recorded evaluations.
Selected work
Public agent experiments, production agentic work, and selected applied machine-learning projects spanning defense, healthcare, and veteran-focused systems. Explore the problem, my contribution, and the evidence available.
Built a local incident investigator with real MCP tool calls, evidence-linked proposals, approval-gated simulation, and inspectable recorded evaluations.
Built multi-agent and tool-calling workflows for clinical evidence and veteran benefits, with human review for consequential decisions.
Developed a plant-disease classifier using an attention-augmented ResNet18 and inspected model behavior with evaluation visualizations.
Built and compared classification pipelines for sepsis prediction, including preprocessing, hyperparameter tuning, and model evaluation.
Implemented and explored parking allocation, routing, and dynamic-pricing algorithms in a simulated urban setting.
Replaced a teacher-forced LSTM baseline with a spatial CNN–Transformer that maps rendered formula images to LaTeX.
Let’s connect
Based in Michigan. Connect about agentic AI, software engineering, and the people using what we build.