Muhammad Tayyab
AI Engineer | Computer Vision | AI Agents | RAG Expert
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Generative AI Automotive Diagnostics & Support Platform AI Chatbot
My role. Lead AI Engineer | LLM Integration | Conversational AI Development
Project description.
Engineered a Generative AI-powered automotive support platform that enables users to diagnose vehicle issues, receive maintenance recommendations, and access repair guidance through natural language conversations. Developed AI-driven troubleshooting systems, intelligent recommendation engines, maintenance management workflows, and customer support automation features. The solution provides 24/7 vehicle assistance, helping car owners quickly identify potential issues and make informed maintenance decisions through an intuitive conversational interface.
Skills and deliverables
Automation
AI Chatbot
Conversational AI
Natural Language Processing
Artificial Intelligence
1
19
AI OCR Document Intelligence Platform for Automated Data Extraction
My role. AI Computer Vision Engineer | OCR, Document AI & Intelligent Data Extraction Developer
Project description. Developed an AI-powered Document Intelligence solution that automates document processing using OCR, Computer Vision, and Intelligent Data Extraction techniques. The platform is designed to classify documents, extract structured information from invoices, contracts, forms, and receipts, validate extracted fields, and deliver high-accuracy results through scalable APIs. The solution supports multi-language OCR, confidence-based validation, workflow automation, and analytics dashboards, enabling organizations to significantly reduce manual data entry and improve operational efficiency.
Skills and deliverables
Computer Vision
Optical Character Recognition
Document AI
Machine Learning
1
18
I developed an AI-driven identity verification platform using facial recognition, liveness detection, document matching, and anti-spoofing technologies. This is designed to automate user onboarding and fraud prevention through real-time face verification workflows. It include biometric matching, deepfake detection, verification analytics, watchlist monitoring, audit trails, API-based integrations, and enterprise-grade security compliance. It supports identity verification with sub-second response times and scalable deployment for fintech, banking, and digital KYC application
My role. AI Computer Vision Engineer | Face Recognition, Liveness Detection & Verification Systems
Skills and deliverables
Computer Vision
Facial Recognition
Fraud Detection
PyTorch
Deep Learning
1
27
I developed an AI-powered Automatic Number Plate Recognition (ANPR) and vehicle tracking solution for intelligent traffic monitoring. The system leverages computer vision and deep learning to detect vehicles, recognize license plates in real time, classify vehicle types, monitor movement across multiple cameras, and generate traffic analytics. Features include watchlist alerts, zone-based monitoring, high-accuracy OCR, low-latency detection, and scalable API integration for smart city, transportation, and security applications.
My role. AI Computer Vision Engineer | ANPR/LPR, Vehicle Tracking & Traffic Analytics Developer
Skills and deliverables
Computer Vision
OCR Software
Tracking Number
Image Processing
Deep Learning
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16