// Full Stack Engineer & AI Developer
I build fast, scalable web applications and intelligent systems that help businesses grow. From interactive dashboards to machine learning pipelines — I turn ideas into working products.
I'm Muhammad Shayan Khan, a final-year Computer Science student at FAST NUCES, Islamabad with hands-on experience building full-stack applications, AI-powered tools, and data-driven systems.
My work focuses on developing reliable software solutions and building efficient technical systems. I enjoy solving complex problems and creating applications that combine strong engineering principles with a smooth user experience.
Whether you need a slick business website, a custom web application, or an AI-powered solution — I deliver results that are clean, efficient, and built to last.
End-to-end web applications with modern frontends and robust backends. I handle everything from design to deployment so you can focus on your business.
Custom ML models and computer vision systems that automate processes, detect anomalies, and extract intelligence from raw visual data.
Data dashboards that give real-time visibility into your operations, paired with automation that eliminates repetitive manual tasks.
Objective: Replace manual gym operations with a fully digital system.
Strategy: Built a React + Supabase platform with separate Admin and Staff dashboards. Automated member registration, attendance, payment logging, and membership expiration with a revenue analytics dashboard.
Objective: Multi-role job portal for students, recruiters, and admins.
Strategy: Engineered a normalized MySQL schema with FK constraints and RBAC. Python interface for CRUD operations. SQL JOINs track candidate statuses across the full hiring pipeline.
Objective: Demonstrate OS-level concurrency with a playable game.
Strategy: Pac-Man clone in C and OpenGL. Each ghost runs on its own POSIX thread. Semaphores and Mutexes prevent race conditions across 6+ concurrent threads with high-resolution timers.
Objective: Automate safety compliance monitoring at worksites.
Strategy: Trained a high-accuracy object detection model on a custom-built dataset. Deployed with Python and OpenCV for real-time detection in live video streams.
Have a project in mind? Whether it's a new web app, an AI solution, or a business dashboard — I'd love to hear about it.