About
Computer Science and Engineering (Artificial Intelligence) student with a strong foundation in data structures, algorithms, full-stack development, and AI engineering. Hands-on experience building AI-powered applications using LLMs, RAG, agentic workflows, vector databases, and modern web technologies.
Education
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2028
Bachelor of TechnologyMuthoot Institute of Technology and ScienceComputer Engineering · 2024 – 2028
Skills
Tools / apps / platforms
Projects
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PageIntel | AI Web Assistant Chrome ExtensionPython, FastAPI, Qdrant, Redis, JavaScript
Developed a Chrome extension and FastAPI backend for chatting with webpage content using multiple LLMs, with RAG, fallback web search, and persistent domain-specific memory.
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CommercePilot – AI-Driven Agentic Commerce PlatformNode.js, TypeScript, Express.js, PostgreSQL, pgvector, Redis, React, Vite, Docker, OpenAI/Gemini, LangGraph, Razorpay API
Engineered an autonomous AI buyer agent, a RAG-based semantic search engine, secure transactional backend, AI safety guardrails, and a gated checkout flow.
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Nexora AI — Multi-Agent AI PlatformMERN stack, LangChain, LangGraph, Qdrant, Redis, Docker
Built a multi-agent AI platform with microservices, JWT authentication, Redis session management, RAG, agent APIs, tool calling, and a React/Redux Toolkit frontend.