AI-powered e-commerce, mobile apps, and ML systems, engineered to scale.

Teams were searching across fragmented SOPs, ticket histories, and policy documents, creating inconsistent answers and long escalation chains.

A production RAG platform with role-based access, grounded citations, evaluation harnesses, fallback search, and human feedback loops integrated into daily support workflows.

Manual inspection was slowing throughput and catching defects too late to prevent scrap, rework, and shipping risk.

An edge-ready computer vision pipeline with real-time inference, defect review tooling, model versioning, drift checks, and sub-second alerting for the plant floor.

Merchandising teams were over-ordering slow movers while missing fast-moving demand because planning cycles were too slow and too manual.

A forecasting and replenishment engine with feature pipelines, planner overrides, scenario analysis, automated reorder recommendations, and weekly retraining workflows.