- I work on production AI applications, consult with small businesses on technical integration, and maintain several projects across machine learning and systems architecture.
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Document Processing: Building applications that extract structure from unstructured documents—forms, PDFs, scanned records—and integrate that information into existing business systems. Involves custom model training, API design, deployment infrastructure.
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Workflow Automation: ML-powered systems that route information, trigger actions, and orchestrate business processes. Focus on practical integration rather than proof-of-concept demonstrations.
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Evaluation and Tooling: Open-source projects in document summarization and language model evaluation. Infrastructure for training, testing, and deploying production ML systems.
- Beyond ML implementation: probability and decision theory, market microstructure, betting and forecasting, systems design, early-stage startup dynamics. Particularly interested in reasoning about uncertainty, architectural tradeoffs, and when to apply complex methods versus simpler heuristics.
