AI Automation Engineer

Architect and ship production-grade AI automation and agentic workflow systems using n8n, Python, TypeScript, Node.js, OpenAI, Claude, LangChain, Redis, PostgreSQL, Docker, and GCP.

• Built and deployed 20+ production n8n workflows for AI agents, event-driven automation, webhook processing, CRM integrations, and business operations.

• Designed high-concurrency webhook pipelines with Redis-based atomic idempotency, TTL controls, and SETNX distributed locks to prevent duplicate processing and race conditions.

• Built AI agents using tool calling, MCP-style patterns, structured JSON outputs, and deterministic validation for reliable downstream automation.

• Implemented Redis-backed stateful customer context and PostgreSQL audit/transaction ledgers for durable workflow state and traceability.

• Extended n8n with custom TypeScript/Node.js logic for cases requiring advanced data isolation, validation, error handling, and production reliability.

• Self-hosted n8n on Docker/GCP and designed systems for reliable operation under concurrent webhook traffic and distributed execution.

Built scalable backend APIs, automation systems, and modular cloud architectures using TypeScript, Node.js, Next.js, Cloudflare Workers, PostgreSQL, and REST APIs.

• Designed production backend services with reliability, retry/reconnection handling, and distributed-state considerations.

• Optimized PostgreSQL queries and database schemas for data correctness, transactional consistency, and high-reliability workflows.

• Translated loosely defined product requirements into technical architecture, implementation plans, and production-ready systems.

• Built integrations and automation workflows connecting APIs, databases, and external services.

• Maintained a highly hands-on engineering workflow across architecture, implementation, debugging, testing, and deployment.