A cross-platform mobile app that tracks Amazon product prices and notifies users of price drops. Developed from scratch to deployment, it features:

• Optimized performance and security: Built with a focus on stability, efficiency, and multiple security measures, including SSL pinning.
• Firebase integration: Includes Crashlytics, Cloud Messaging, and Authentication for reliability and engagement.
• Scalable backend: Developed in JavaScript, optimized to handle overloading, ensuring seamless performance even during peak usage.
• Advanced scraping engine: Combines a custom web scraper with official Amazon APIs integration, designed with careful consideration to create an efficient request client that maximizes resource utilization.
• Web showcase: A dedicated landing page to present the app.
• UI/UX refinement and implementation: Collaborated with a professional designer to enhance the design and used Figma to translate it into a fully functional app interface.

Designed and implemented custom, efficient scraping solutions for monitoring limited stock of shoes and apparel, as well as developing bots, scripts, and browser extensions to automate the purchasing process. Skilled in debugging and reverse engineering mobile apps, e-commerce, and web applications, with expertise in bypassing security systems such as Cloudflare, PerimeterX, Datadome, and others.