An R pipeline generates public-safe longitudinal assessment data, searches multiple model families, performs temporal and holdout validation, and renders analyst and executive decision-support artifacts.
Qualification: Public use surfaces the below-target validity gates; an interview rebuild needs the reproducibility work item first.
A filterable mathematics dashboard shares its 500-student synthetic dataset, six figures, and teaching priorities with the Logos department report and paired assessment.
Scope: One fictional administration; no growth, causal, or individual placement claims. The earlier warehouse demonstration is documented separately.
The implemented slice produces and validates a 36-item math-readiness diagnostic, renders reviewer previews, records advisory reviews, and builds an offline Canvas New Quizzes payload.
Qualification: Accessibility and clean demo verification should be completed before a high-stakes interview walkthrough; all downstream stages remain planned.
Architecture, governed AI, retrieval, and statistical depth
Additional work in synthetic education data, human-reviewed AI, source-grounded reporting, and applied statistics.
Education data systemsSupporting | qualified
Education Data Simulation Engine
Generates a coherent seven-year synthetic mathematics department, validates cross-table invariants, builds Canvas-style records and a DuckDB star schema, and exports marts consumed by Assessment Intelligence.
Qualification: The local commit is demo-ready, but public featuring must wait for separately approved remote release synchronization.
A synthetic Precalculus free-response demo converts teacher-defined rubrics and observations into structured evaluations, a reviewer packet, student-facing feedback, and remediation plans without grading raw work automatically.
Qualification: Clear supporting evidence for governed AI-assisted instructional workflow design; less technically deep than the top three campaign projects.
Normalizes public-safe material into provenance-rich objects, gates retrieval inputs, produces lexical and vector records, and exposes portable hybrid retrieval logic for a cited-answer demo.
Qualification: Strong general AI systems alternate with clear provenance and governance evidence; less education-specific than the top three.