DentAI, UNIVALI, and AI stack in one graph.
Current work sits where clinical AI, academic platforms, and agentic tooling share one concern: reliable systems under pressure.
DentAI
AI-first dental platform: RAG, Gemini, clinical assistant workflows, automation, release discipline.
UNIVALI
Academic systems with Next.js, TypeScript, internal platforms, and team-level engineering flow.
AI stack
Gemini, Claude, Codex, retrieval, evaluation, contracts, and smoke checks as production machinery.
Interfaces small. Contracts explicit. Proof hard.
Seniority is deciding what cannot stay vague before code starts moving.
AI products
Workflows, evaluation, data boundaries, and user outcomes before model spectacle.
Backend systems
Clear ownership, observable failures, stable contracts, and persistence that matches user reality.
Frontend flows
State, API behavior, and UX shaped together so users do not feel machinery.
Release discipline
Tests, CI, deploy visibility, smoke checks, and root-cause fixes instead of hope.
Project portals, not flat cards.
Public work around practical developer workflows, reverse edges, and small tools that remove friction.