Experience / Selected work
Systems, research,
and the work behind them.
Notes from my internships, research, and teaching: the problems I worked on, the systems around them, and what the work produced.
IndustryResearchTeaching
2026
Experience notes2025
Experience notes-
University of Michigan
Healthcare AI Research
Cardiac chamber segmentation, ejection-fraction quantification, and portable ultrasound interoperability.
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Scale AI
LLM Evaluation Pipelines
Retrieval, reranking, and high-throughput benchmarking for model evaluation.
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Amazon Web Services
SageMaker / Bedrock Infrastructure
Dependency mapping, live system health, and containerized audit tooling for model serving.
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University of Michigan
Self-Operating Networks
AST-aware code generation and a contrastive-learning pipeline for training-data expansion.