Gyaneshwar Kumar
@gyaneshwarkumar
I build RAG pipelines and agentic LLM applications for document analysis and intelligent search.
What I'm looking for
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
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
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.
Availability
Location
Authorized to work in
Job categories
Skills
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