About
B.Tech Information Science candidate specializing in backend engineering and Agentic AI architecture. Builds scalable microservices, custom API gateways, multi-agent orchestration systems, and RAG pipelines using Python and cloud-native tools.
Education
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B.Tech in Information Science and EngineeringInformation science and engineering · 2023 – 2027
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Intermediate (MPC)Science · 2021 – 2023
Skills
Tools / apps / platforms
Projects
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LangGraph, FastMCP, Gmail API, Gemini, Ollama, ChromaDB, Celery, Redis
Stateful multi-agent workflow for email summarization, sender filtering, RAG chat, automated actions, and direct email dispatch with a FastMCP tool server and production RAG pipeline.
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Next.js, Django REST, LangChain, LangGraph, MCP, Redis, Celery, Playwright
Full-stack platform that transforms web URLs into technical blogs using LLM-driven tool selection, dynamic tool execution, caching, and asynchronous draft generation.
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Node.js, Express, Django, LangGraph, Redis, MongoDB, Next.js
Distributed microservices platform to automate domain reconnaissance, port scanning, and vulnerability assessments. Includes a custom Node.js API gateway, round-robin load balancing, and multi-tool security reconnaissance workflows.