Welcome to my portfolio
I'm a Computer Systems Engineering student at MUET, Jamshoro — building real-world tools that actually work: network intrusion detection systems, finance dashboards, AI-powered chatbots, and full-stack web applications. I've completed a Python internship, hold certifications from NVIDIA and IEEE, and I'm currently enrolled in a 6-month government-backed ML & Deep Learning program at MUET.
Built a real-time intrusion detection dashboard monitoring live packet traffic across 3+ protocol layers. Detects port scans and traffic spikes with sub-second alert latency. Includes a plain-English AI chatbot so non-technical users can query live network stats — no log reading required.
A zero-page-reload finance tracker with async CRUD via Fetch API and real-time Chart.js visualizations. Hardened with parameterized SQL (eliminating injection risk), strict input validation, and environment variable config — production security practices, not just a class project.
Full-stack app that maps real-time public IPs via IP-API and HTML5 Geolocation. Implemented Fail-Fast architecture for private IPs and network timeouts — zero unhandled exceptions in production testing. Features dark-mode Glassmorphism UI with CartoDB tile integration.
Exploratory data analysis on 120+ years of Olympic competition data. Surfaced performance trends, medal distributions, and country dominance patterns via Matplotlib and Seaborn. Deployed as a public Streamlit app — analytical insights accessible to anyone, no coding required.
Browser-based 4×4 card-matching game built with Flask and Vanilla JS. Features Fisher-Yates shuffle, real-time 60-second countdown, 3D CSS card flip animations, and a hardened backend with CSP headers, XSS protection, and environment-based secret management.
Seeking internships and junior roles in Python development, network security, or AI/ML. Let's talk.