Full Stack & Flutter Developer building things that matter — AI-powered tools, async security scanners, and scalable applications at the intersection of AI, security, and software engineering.
I'm a Computer Science student who builds production-quality software as a way to learn deeply. Rather than tutorial projects, I focus on tools with real utility — an AI code assistant that understands entire repositories, and a security scanner that finds real vulnerabilities with CVSS scores.
My work sits at the intersection of artificial intelligence, cybersecurity, full-stack, and mobile app development. I'm drawn to problems that feel hard until you find the right abstraction.
When I'm not coding, I'm thinking about system design, reading about new AI research, or exploring how security principles apply to modern software architectures.
Building RAG pipelines, working with Gemini 2.5 Flash, ChromaDB vector stores and streaming APIs.
Async vulnerability scanning, CVSS 3.1 scoring, OWASP Top 10, authenticated scanning flows.
FastAPI backends, React frontends, Flutter apps, SSE streaming, async Python.
Ask questions about any GitHub repository — in plain English
An AI-powered code assistant that clones GitHub repositories, indexes all code into a ChromaDB vector store, and uses Gemini 2.5 Flash with Retrieval Augmented Generation (RAG) to answer questions about the codebase. Supports private repos, streams responses in real-time, shows source citations, and includes a full file-tree explorer.
auth/router.py. The middleware in core/middleware.py validates every request...Async web vulnerability scanner with CVSS scoring
A plugin-based web vulnerability scanner that crawls targets and runs 9 security modules concurrently. Detects XSS, SQL injection, CSRF, misconfigurations, and more — complete with CVSS 3.1 base scores on every finding. Supports authenticated scanning (login flows), PDF/HTML/JSON reports, and a web dashboard.
Face recognition attendance with Flutter & FastAPI
A state-of-the-art attendance management system using Deep Learning. Features a responsive web portal for student self-registration and a Flutter mobile app for instructors to capture attendance in crowded classrooms using real-time batch face detection and InsightFace embeddings. Fully containerized and deployed on Azure Kubernetes Service (AKS).
University — Batch FA23-BCS
Core curriculum covering algorithms, data structures, operating systems, computer networks, database systems, and software engineering. GPA maintained while shipping two portfolio projects.
Personal Project
Built a plugin-based web vulnerability scanner from scratch. 9 async scanner modules, CVSS 3.1 scoring, authenticated scanning, PDF/HTML/JSON reports, CLI and web dashboard. Deployed on Render.
Personal Project
Built a RAG pipeline that indexes entire GitHub repositories and answers questions about code using Gemini 2.5 Flash. FastAPI backend, React frontend with SSE streaming, ChromaDB vector store. Deployed on Render + Vercel.
Personal Project
Built a comprehensive attendance management system using Deep Learning (Face Recognition). Consists of a responsive web portal for student registration, a Flutter mobile app for real-time batch face detection in classrooms, and a FastAPI backend. Deployed on Azure Kubernetes Service (AKS).
University
Began formal computer science education while independently exploring AI, web development, and cybersecurity. Built foundational skills in Python, data structures, and systems programming.