Building intelligent systems at the intersection of AI, security, and the web. Transforming complex problems into elegant, highly scalable solutions.
I am a Computer Science Engineering student at the Institute of Aeronautical Engineering expecting to graduate in 2027.
I build agentic AI systems that transform static data into autonomous, self-healing workflows. My expertise lies in orchestrating multi-step automation using n8n and Zapier, integrating LLM reasoning via Claude and Gemini APIs, and bridging disparate services through robust API/webhook architectures.
I believe in learning by shipping real things. From creating a sophisticated AegiSec AI framework to optimize security protocols, to deploying deep learning models during my internship at CITD, MSME Tool Room.
Whether it's orchestrating LangChain chatbots or structuring robust Spring Boot APIs, I write clean code that scales.
Autonomous penetration testing framework blending LLM reasoning with real-world exploit orchestration to generate structured vulnerability reports.
End-to-End insurance claims automation platform featuring intelligent fraud detection via XGBoost and agentic workflows built with LangChain and LangGraph.
AI-powered Learning Management System with personalized learning paths, intelligent chatbot support, and adaptive assessments.
Full-featured RESTful API backend for managing employees with CRUD operations, JWT authentication, and robust data persistence.
Worked on real-world deep learning problems, applied image processing techniques, and optimized neural networks using TensorFlow, PyTorch, NumPy, and OpenCV.
Maintaining an 8.11 GPA while actively building full-stack and AI-driven applications.
Oracle • Oct 2025
Samsung • Feb 2026
Infosys • Sep 2024
I am currently open to new opportunities and exciting projects. Drop a message and let's build something amazing together.
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