Applied AI
- LLMs
- RAG
- Agent governance
- LangGraph
- LangChain
- Prompt Engineering
- Policy evaluation
About
Applied AI Engineer | LLM Systems, RAG, Agents and Evaluation
Applied AI Engineer building LLM applications, retrieval pipelines, and agent governance tools in Python. I bring 15+ years of software, backend, and database experience to making AI systems testable, maintainable, and ready for operational scrutiny.
My work in enterprise backends, SQL Server, automation, and infrastructure shaped how I build AI software: define interfaces, preserve state deliberately, test failure paths, and make behavior inspectable. Today that practice connects retrieval and model adapters in Local LLM Chat Engine, policy checks in LangGraph Governance Lab, and architecture guidance in AI Systems Notes.

Core competencies
Hands-on across software engineering, data platforms, and enterprise AI enablement.
Experience
Official employment titles and responsibilities. This software engineering history supports my current applied AI project work.
Esfahan Regional Electric Company | 2025-Present
Yeganeh Computer Center | 2010-2025
Darya System (Remote) | 2022-Present
Education
Islamic Azad University of Najafabad