Building reliable AI workflows, document intelligence, and backend integrations
with evidence, validation, and human oversight.
| Document Intelligence | AI Automation & Backends |
|---|---|
| Evidence-grounded RAG and semantic retrieval | FastAPI services and reliable API integrations |
| PDF processing and searchable source material | LLM integrations and structured outputs |
| PostgreSQL, pgvector, citations, and review paths | Webhooks, CRM workflows, n8n, Airtable, and messaging automation |
Private implementation · Demonstration materials in preparation.
A document-review workflow that processes PDFs, retrieves project-scoped evidence, returns page-level citations, and explicitly abstains when the available evidence is insufficient.
PDF intake → extraction → embeddings → scoped retrieval
→ structured answer → citations → abstention / human review
Stack: FastAPI · PostgreSQL · pgvector · OpenAI APIs · Alembic · Docker · automated tests
A workflow-oriented microservice for lead qualification, classification, routing, and operational handoff.
Inbound lead → validation → AI classification → routing decision
→ CRM / notification workflow → review-ready outcome
Stack: Python · FastAPI · n8n · Airtable · Webhooks · Telegram · Ollama / OpenAI
- Evidence before generated conclusions
- Explicit uncertainty and human review for high-impact decisions
- Typed contracts, validation, and structured outputs
- Logging, traceability, and practical operational handoff
Private implementations. Public portfolio materials are curated for demonstration.