I am a mid-level Python backend engineer with two years of experience building backend services, REST APIs, and data-driven applications. My work focuses on reliable, maintainable systems and production-oriented engineering practices.
I build AI and LLM-powered applications using OpenAI models, Retrieval-Augmented Generation (RAG), LangGraph, multi-agent workflows, and prompt engineering. I am experienced in creating grounded AI assistants that retrieve relevant business data before generating responses.
I work extensively with FastAPI, asynchronous programming, API integrations, SQL databases, Redis, and RabbitMQ. I apply Clean Architecture principles to design scalable backend workflows and dependable service integrations.
I have hands-on experience deploying and operating containerized backend services in AWS and Linux environments. My DevOps experience includes Docker, Git, CI/CD workflows, production configuration, health checks, release validation, and troubleshooting.
I value code quality, testing, collaboration, and practical problem-solving. I use pytest for unit and integration testing and have contributed to debugging, code reviews, feature delivery, and production issue resolution across collaborative engineering teams.
