Rigorous models.
Visible evidence.

LLM extraction, RAG evidence and deterministic IMCI rules in one auditable workflow.

A multilingual clinical decision-support prototype that combines Gemma 4, retrieval over IMCI references, deterministic safety rules and a human-review boundary.

Deterministic data-quality checks first; LLM recommendations second.

A LangGraph workflow that profiles a dataset, proposes preprocessing decisions, validates transformations and keeps a human approval point before output generation.

Chronological validation, calibrated probabilities, decision cost and subgroup diagnostics.

A synthetic approval-decision laboratory that separates fit, calibration and final holdout periods, selects a cost-sensitive threshold and exposes subgroup diagnostics through reproducible reports and an API.

From clustering diagnostics to an interface a marketing team can actually explore.

An R/Shiny product that compares unsupervised methods, profiles four customer groups and makes the assumptions and cluster diagnostics inspectable.