Lionel P.

I build AI agents, RAG systems, and workflow automations that help teams handle document-heavy work faster. Typical use cases: RFP drafting, document processing, research/summarization, knowledge search, ticket/email drafting, and report generation. Example: Reduced an RFP drafting workflow from ~10 hours to ~3 hours with review and QA built in. Typical outcomes: • Reduce a process from days/hours to minutes • Replace manual copy/paste work with reliable LLM + tools • Keep quality consistent with human guardrails and review steps What I can deliver quickly (hourly, long-term): • AI agents + tool integrations (APIs, CRMs, docs, spreadsheets) • High-precision RAG over private data (citations, chunking, reranking) • Workflow automations (Python/TypeScript, queues, webhooks, n8n/Zapier if needed) • Production-ready systems: structured outputs, logging/tracing, error handling, cost controls Best fit: Ops/Sales/Support/Legal teams drowning in documents + repetitive writing Tech: Python, TypeScript, OpenAI, Anthropic, LangGraph/LangChain, vector databases, Postgres, Docker, AWS/Azure/GCP.