Azizbek Siddikov

• •Refactored legacy JavaScript frontend and PHP backend, improving maintainability and reducing code duplication by 300% in order pages
• •Upgraded Stripe with PaymentIntent APIs, ensuring secure and compliant payment processing, while preserving custom UI on order pages
• •Modularized source code into reusable components, enhancing efficiency and scalability
• •Migrated internal CCBS system (Customer Care and Billing System) to latest Python/Django versions and optimized MariaDB queries for improved performance

• •Built a blogging and book-reading platform, implementing user authentication, content management, and search functionality
• •Implemented secure authentication with Better Auth and multiple providers (Twitter, Google, GitHub)
• •Developed an internal CRM for restaurants to display stats and dashboards, enabling data-driven decisions
• •Integrated TipTap editor for Markdown blog content and built a responsive UI with Tailwind CSS and shadcn/ui
• •Built a responsive UI with Tailwind CSS and shadcn/ui, ensuring accessibility and mobile compatibility
• •Implemented reading session tracking, progress storage, and real-time user chatting using WebSockets

• •Trained AI models with YOLOv8 pre-trained models to detect road anomalies from images, using Python for data manipulation and analysis
• •Led a team of 3 data labelers, distributing tasks, monitoring performance, and providing feedback to ensure high-quality annotations
• •Managed and labeled 500,000+ images and video frames, creating structured datasets for AI training
• •Organized and labeled extensive datasets comprising images and video footage, conducted thorough analysis, and prepared detailed reports on team performance and project progress
• •Delivered regular reports highlighting key insights and milestones to senior researchers

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Full-stack e-commerce solution with React, Node.js, and PostgreSQL. Features include user authentication, payment processing, and admin dashboard.

Real-time analytics dashboard with machine learning predictions. Built with React, Python, and TensorFlow for data visualization and insights.

Built a blogging and book-reading platform with user authentication, content management, and search functionality using modern web technologies.

AI-powered system for detecting road anomalies from images using YOLOv8 pre-trained models and computer vision techniques.

Internal CRM system for restaurants to display stats and dashboards, enabling data-driven decisions with real-time analytics.

Real-time user chatting application with WebSocket integration, reading session tracking, and progress storage.