AI Expert and IT Engineer with a primary focus on Artificial Intelligence, Deep Learning, Neural Networks, and Computer Vision. Specialized in designing and training YOLO-based real-time detection systems, and building i…
AI Expert and IT Engineer with a primary focus on Artificial Intelligence, Deep Learning, Neural Networks, and Computer Vision. Specialized in designing and training YOLO-based real-time detection systems, and building intelligent software solutions powered by video analysis and image processing. Experienced in IT systems, networks, cybersecurity, and embedded systems. Capable of working independently and within teams to deliver practical, high-impact AI-driven products.
Real-time AI-powered traffic surveillance system built with YOLO and Computer Vision
Detects wrong-way driving, sudden stops, speeding, accidents, and suspicious behaviors
Integrated with Raspberry Pi 4 for edge deployment
Sends instant alerts and reports
Tech Stack: Python, YOLO v8, OpenCV, Raspberry Pi 4, SQL Server
Automated CCTV analysis system using Deep Learning and Computer Vision
Detects persons, weapons, smoking, fire, unauthorized access, and abnormal crowd behavior
Real-time alert generation with dashboard and logging system
Tech Stack: Python, YOLO, OpenCV, Deep Learning (CNN), SQL Server
Comprehensive system for managing traffic violations, vehicle records, and stolen cars
Features: fine issuance, cash management, report generation, and staff management
Tech Stack: C#, .NET, SQL Server, Visual Studio
Comprehensive marketplace platform connecting service providers with clients across various professions
Features: service listing, booking, ratings, real-time chat, order tracking, and payment management
Supports freelancers, craftsmen, and professionals offering services in diverse fields
Tech Stack: Flutter (Mobile), React.js (Web), Firebase, MySQL, .NET API
Cross-platform shopping app with product catalog, cart, order tracking, and admin panel
Tech Stack: Flutter, Dart, Firebase, PHP, MySQL
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