RAG Knowledge Base
A high-performance Retrieval-Augmented Generation system designed for enterprise documentation. Utilizes vector databases for semantic search and LLMs for context-aware answers.
I am a results-oriented Computer Engineer specializing in the design, development, and deployment of end-to-end Generative AI and Large Language Model (LLM) solutions.
My work is centered around delivering measurable business value through robust architecture and efficient code. I combine strong problem-solving abilities with a deep understanding of modern AI frameworks to build scalable systems.
To view my codebase portfolio and contributions, please visit my GitHub profile.
A high-performance Retrieval-Augmented Generation system designed for enterprise documentation. Utilizes vector databases for semantic search and LLMs for context-aware answers.
A scalable backend service built to manage concurrent LLM requests. Features include token-bucket rate limiting, caching, and asynchronous request handling.
I'm currently open to new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!
[email protected]