I am an AI Engineer specializing in building production-ready AI applications leveraging Retrieval-Augmented Generation (RAG), FastAPI, large language models (LLMs), and cloud technologies. My expertise includes semantic search, vector databases, backend development, Docker, AWS, Redis, and designing scalable AI systems. I have hands-on experience developing end-to-end AI pipelines that handle document ingestion, chunking, embeddings, vector search, retrieval, and LLM-based response generation.
I have successfully built platforms such as PolicyGuard AI, a RAG-based intelligent document question answering system, where I implemented features like RBAC, chat memory, response caching, request tracking, rate limiting, and monitoring workflows. I containerized this platform using Docker and deployed it on AWS EC2 with Nginx and SSL configuration.
Additionally, I developed Order Food AI, an AI-powered food recommendation platform, designing REST APIs, implementing JWT authentication, building database models with PostgreSQL and SQLAlchemy, and containerizing the system with Docker Compose.
Previously, I worked as a Data Analysis Expert and Programmer at Parto Pars in Shiraz, Iran, where I collected, cleaned, and processed data from multiple sources, performed statistical analysis to identify trends, developed Python automation tools, and supported testing and deployment of data-driven applications.
I hold a Master of Intelligent Systems from Novia University of Applied Sciences in Finland and a Bachelor of Science from Shiraz Pasargad Higher Education Institute in Iran. I am fluent in Persian (Farsi), have intermediate proficiency in English, and elementary knowledge of Finnish.
I am passionate about leveraging AI and cloud technologies to build scalable, efficient, and intelligent systems that solve real-world problems. I continuously seek to expand my skills in AI, backend development, and cloud infrastructure to deliver impactful solutions.