Nicholas Haghiri

I am an integration and AI automation engineer with 8+ years building production integrations, automation systems, and data pipelines across Finance, Operations, and QA. I specialize in AI/LLM platforms, retrieval-augmented generation (RAG), and intelligent workflow orchestration.

At my current role I served as the company's sole AI engineering and automation resource, designing and deploying production-grade LLM capabilities, RAG platforms, and real-time alerting systems that increased forecasting accuracy and delivered 30% higher forecasting performance for business audiences.

I architect end-to-end ETL/ELT and event-driven systems using Python, TypeScript, REST/GraphQL APIs, PostgreSQL NOTIFY/LISTEN, vector databases, and observability tools like OpenTelemetry and Langfuse. I have a strong track record of reducing manual overhead—examples include automating CNC machine workflows to cut manual effort by 85% and building integration platforms that reduced operational tasks by 60%.

I hold an MSc in Computer Science (4.0) and a BA in Mathematics, and I prioritize secure, production-ready solutions with secrets management, RBAC, and evaluation frameworks for responsible AI. I enjoy translating complex technical challenges into scalable systems that deliver measurable business impact.