- 🔭 Building production-grade AI systems across RAG, document intelligence, agentic workflows, evaluation pipelines, and observability for enterprise use cases.
- 🌱 Deeply interested in the operational side of AI systems — retrieval quality, long-running agents, context engineering, evaluation loops, orchestration, and reliable deployment on AWS-native GenAI stacks.
- ⚡ Outside of tech, I’m a self-taught artist exploring realism, figurative sketching, and abstract acrylic painting
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Highlights
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Multimodal_LLM_Document_Bot
Multimodal_LLM_Document_Bot PublicAdvanced multimodel multilingual LLM chatbot that used Langchain, LLama Parse, OCR and RAG . Mistral AI and LLama2 7b used
Python
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Agentic-Multi-Modal-Interview-Readiness-Coach-IRC-
Agentic-Multi-Modal-Interview-Readiness-Coach-IRC- PublicIntelligent interview prep system: analyzes resume/JD, identifies skill gaps, generates adaptive study plans, provides AI-evaluated practice, tracks mastery. LangChain + FastAPI + React.
Python
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Ask-the-Web-Agent
Ask-the-Web-Agent PublicAsk the Web Agent is a lightweight full-stack AI app that searches the web in real time and summarizes answers using a local LLM via Ollama. It combines FastAPI, DuckDuckGo search, and a React UI t…
Python
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