Scientific investigation · machine learning
Current work spans intelligent optimization, biological sequence analysis, graph reasoning, and autonomous multi-agent systems. Each inquiry tests theoretical hypotheses against empirical data and production constraints.
Questions in progress
Investigating problems where optimization and deep architectures meet real-world noise. Click on any research stream to inspect technical reports, benchmark datasets, or presentation slide decks.
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Autonomous SRE Architecture
Featured system · GraphRCA
GraphRCA externalizes memory and planning for small language models: traces become a service graph, deterministic signals narrow the search, and a guarded agent proposes mitigation with rollback protection.
Monographs & Technical Surveys
Comprehensive survey on fixed-parameter tractability, kernelization, and graph coloring optimization.
Ensemble architectures combining graph attention and atrous spatial pyramids for biomedical image analysis.
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