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Gyaneshwar Kumar

@gyaneshwarkumar

I build RAG pipelines and agentic LLM applications for document analysis and intelligent search.

India
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What I'm looking for

I'm looking to build practical Generative AI, RAG, and agentic AI applications, contributing to LLM workflows, document intelligence, API integrations, and deployed AI products while growing as an AI engineer.

I've built AI Financial Analyst and agentic chatbot applications using LangGraph, LangChain, Gemini, FAISS, FastAPI, and Streamlit. My work includes RAG pipelines for financial reports and PDFs, tool-calling workflows, document retrieval, web search, stock-data queries, and interactive AI responses.

As a Virtual Generative AI Intern at IBM, I developed business-oriented AI automation use cases, including RAG-based question-answering and document information-extraction workflows. I'm a Computer Science and Data Science undergraduate focused on Generative AI, LLM applications, and AI agents.

Experience

Work history, roles, and key accomplishments

IBM logoIB

Virtual Generative AI Intern

Implemented Generative AI and prompt engineering techniques for business-oriented AI and automation use cases. Developed RAG-based question-answering solutions using LLMs for context-aware information retrieval.

Education

Degrees, certifications, and relevant coursework

ABES Engineering College logoAC

ABES Engineering College

Bachelor of Technology, Computer Science

2023 -

Grade: 8.02/10

Pursuing a B.Tech in Computer Science with a focus on Data Science, achieving a CGPA of 8.02/10.

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