Hi, It's Shark
I'm a Developer
I build softwares, games, apps, and enjoy solving problems through code.
I build softwares, games, apps, and enjoy solving problems through code.
I’m a student developer passionate about building real-world projects and exploring how software works behind the scenes. I enjoy creating tools, experimenting with new ideas, and constantly improving my programming skills.
Read MoreBuilding practical software and tools from scratch using languages like C, Python, and JavaScript. I focus on writing efficient code and creating applications that solve real-world problems.
Developing modern and responsive web applications using HTML, CSS, JavaScript, and frameworks like React and Node.js. I focus on clean UI, performance, and scalable web solutions.
Practicing Data Structures and Algorithms to strengthen problem-solving skills and prepare for technical interviews. I enjoy solving challenging coding problems and improving logical thinking.
Exploring low-level programming and Linux systems using C and system tools. Interested in networking, operating system concepts, and building software that works close to the hardware.
NetMeter is a browser-based internet speed testing tool that measures ping, download, and upload speeds with a real-time speedometer interface for simple network performance evaluation.
Tinder-style gallery app that lets users swipe photos and videos to clean storage.
Interactive infinite canvas application built from scratch, featuring custom rendering, a flexible element system, undo/redo history, and advanced interactions for creative brainstorming and design. It supports text editing, image handling, freehand sketching, and export functionality, all within a fast, local-first workflow designed for seamless idea exploration, visual organization, and intuitive user experience.
An offline-first 90-day fitness app (PWA) that removes choice and builds consistency through simple, guided daily workouts.
Built a fast, multi-threaded web scraping CLI for Python that transforms simple commands into structured data extraction workflows. Implemented concurrent fetching, rich terminal visualization, and flexible parsing to handle links, text, and tags efficiently—making it practical for real-world automation tasks scalable robust.
