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vjkarthik98/README.md

Hi, I'm Vijaya Karthik 👋

GenAI Engineer building production-grade multimodal RAG systems — end to end, from ingestion to deployment.

I specialize in finance-domain retrieval-augmented generation: systems that have to get numbers right, resist prompt injection, and prove their accuracy with a real evaluation harness instead of a demo.

🔭 Currently building

MAGIK — a multimodal, agentic RAG assistant that ingests text, PDF, DOCX, XLSX, images, audio, and video, routes queries through an agentic controller, retrieves with a hybrid BM25 + dense pipeline, and verifies its own answers before they reach the user. Runs entirely on open-source models — no paid LLM API in the request path.

See it live → vk-ai.online

🛠️ Stack

Languages   Python TypeScript

AI / ML   PyTorch TensorFlow scikit--learn llama.cpp Qdrant

Backend / Infra   FastAPI Docker AWS Redis MongoDB

Frontend   React Vite TailwindCSS

📫 Reach me

Email LinkedIn

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  1. MULTIMODAL-AGENTIC-RAG-INTEGRATED-KNOWLEDGE-AI-ASSISTANT MULTIMODAL-AGENTIC-RAG-INTEGRATED-KNOWLEDGE-AI-ASSISTANT Public

    Production-grade multimodal RAG assistant using open-source LLMs and vector databases.

    Python 1