About me
I am an AI Engineer specializing in the design and deployment of production-ready, LLM-powered systems. My work focuses on building Retrieval-Augmented Generation (RAG) chatbots, scalable backend services, and automated workflows using Python, FastAPI, PostgreSQL, Docker, and modern cloud platforms such as AWS and Azure. I take a full-stack approach to AI engineering, integrating large language models with robust backend architectures to ensure reliability, performance, and maintainability in real-world environments. I have delivered AI solutions that enhance customer interaction, enable real-time access to information, and significantly reduce manual operational workload. From API design and cloud-native deployment to data flow optimization and system scalability, I focus on building systems that operate consistently in production. Beyond implementation, I work closely with stakeholders to translate business requirements into practical, measurable solutions. My technical interests include large language models, retrieval systems, agentic AI, and scalable system design, with a continuous focus on applying emerging techniques to real-world problems.
What I'm doing
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Backend development
Develop robust backend architectures to ensure reliability, performance, and maintainability in real-world environments.
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AI Engineer
Design and develop production-ready, AI-powered systems using machine learning models or LLMs.
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Chatbot Development
Build LLM-powered chatbot such as RAG to enhance customer interaction, enable real-time information access, and significantly reduce manual operational workload.
