I BUILD AI-POWERED SYSTEMS THAT SOLVE REAL PROBLEMS.

Patient intake during high-pressure emergency or clinic admissions is often bottlenecked by manual paperwork and fragmented transcription, delaying critical triage information.

Engineered an interactive conversational voice assistant agent that captures spoken symptom descriptions, extracts structured clinical observations, and routes them through a stateful LangGraph workflow.

Operations teams spend dozens of hours weekly manually copying lead inquiries, sorting attachments, extracting invoice parameters, and manually notifying account executives.

Architected an end-to-end event-driven n8n automation pipeline that captures multi-source webhooks, parses unstructured incoming emails and PDF attachments via LLM function calling, writes structured records to PostgreSQL, and dispatches role-tailored alerts.

Engineers and support teams struggle to locate precise answers within hundreds of pages of API specifications, architecture decision records, and operational runbooks.

Built a retrieval-augmented generation (RAG) assistant that indexes internal Markdown and PDF documentation into pgvector, applies hybrid keyword-vector retrieval, and provides cited, verifiable answers.

Modern applications require secure, auditable, and performant backend services that handle concurrent requests without data race conditions or silent failures.

Designed and developed a production-ready RESTful backend service with TypeScript, role-based access control (RBAC), robust input validation, database connection pooling, and structured error logging.