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Context At CompFly AI, I work as an Applied AI Engineer across AI agent evaluation, model validation, runtime security, and agent workflow development. My work centers on a core product question: how do we measure whether an AI security system behaves deterministically before release? In agentic systems, reliability is not just about a single model response. It depends on how the system behaves across tools, memory, multi-step workflows, runtime protections, and adversarial scenarios. ...

Context At NCSA, I worked on improving reasoning and retrieval in biomedical AI systems by incorporating knowledge graphs into LLM workflows. The research focused on building a structured knowledge base of genes, phenotypes, and biomedical relationships to support causal question-answering over CRISPR perturbation data. What I Built I built a Neo4j knowledge graph with 100K+ biomedical triples by harmonizing Monarch ontology data, creating a structured layer for multi-hop reasoning over biomedical entities. ...