About
Computer science student building full-stack web applications with React and Node.js, and AI applications with LLMs, LangChain, and LangGraph. Comfortable working across backend data models, interactive interfaces, and tool-using agents.
Education
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B.TechComputer Science and Data Science · 2023 – 2027
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High SchoolHimalayan Public School, Patna
Skills
Tools / apps / platforms
Projects
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Full-Stack Learning DashboardReact.js, GSAP, HTML, CSS, Express.js, PostgreSQL, NumPy, Pandas, Matplotlib, Seaborn
Created a React dashboard where students log study sessions and see progress charts, with GSAP-animated transitions. Stored data in PostgreSQL behind an Express.js REST API. Used Python (Pandas, NumPy) to analyse study patterns and Matplotlib and Seaborn to generate trend visuals.
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MCP Server Toolkit for Database Q&ANode.js, Express.js, PostgreSQL, MCP servers, LLMs
Built an MCP server that lets an LLM client query a PostgreSQL database through safe, read-only tools. Added an Express.js API layer with input validation and clear error responses for tool calls. Let users ask questions in plain English and get answers backed by live data.
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AI Research Agent with LangGraphPython, LangGraph, LangChain, LLMs, Prompt Engineering
Built a multi-step agent that plans a question, searches sources, drafts an answer and checks it before replying. Modelled the workflow as a LangGraph state graph with separate planner, researcher and reviewer nodes plus retry loops. Wrote and tested structured prompts to keep answers grounded and formatted consistently.