Engineering portfolio
Six projects. Six proof domains.
Each case has one accountable technical narrative. Browse from shipped applied-AI systems to work under explicit modernization, evaluation, or operational boundaries.
Flagship and pinned work
Implemented evidence first.
These cases expose reachable behavior, repositories, release status, safety boundaries, and reproducible proof.
AI Prompt Optimizer
Project-aware intent compilation, secure remote orchestration, deterministic fallback, and measured evaluation.
Review applied-AI evidence Public alpha · bounded operationsSysOps Agent
Fail-closed classification, command policy, verification, recovery, and redacted audit trails.
Review agent safety evidence Release candidate · full-stack productAutoBlog CMS
Identity, RBAC, revisions, concurrency, durable jobs, accessibility, and bounded AI/media operations.
Review product evidence CI green · infrastructureAuthenticated Privacy Proxy
Authenticated ingress, request policy, layered routing, DNS controls, containers, and host automation.
Review infrastructure evidenceSupporting work
Modernization claims stay bounded.
These cases state the target evidence and current limitations without presenting planned work as completed.
Product Image Classifier
Data lineage, reproducible experiments, calibration, error slices, model cards, and CPU-first inference.
Review ML evaluation scope Backend reliabilityMulti-tenant Loyalty Platform
Tenant isolation, idempotency, durable work, concurrency, auditability, and recovery.
Review reliability scope