Touseeq
Touseeq
AI-focused Computer Science graduate with expertise in developing and deploying machine learning models for Computer Vision and NLP applications. Proficient in React Native mobile development and advanced AI techniques including RAG, Object Detection, and Segmentation. Experienced in full project lifecycle from data annotation to production deployment in agile team environments.
I'm Muhammad Touseeq, a passionate AI Engineer and Computer Science graduate specializing in Artificial Intelligence. With hands-on experience in developing and deploying machine learning models for real-world applications, I bridge the gap between cutting-edge AI research and practical implementation.
My expertise spans Computer Vision, Natural Language Processing, and React Native mobile development. I've worked on projects ranging from healthcare diagnostics to intelligent mobile applications, always focusing on creating impactful solutions that solve real-world problems.
Rawalpindi/Islamabad, Pakistan
mtouseeq20@gmail.com
+92 330 1540904
www.linkedin.com/in/muhammad-touseeq-ai
https://github.com/Touseeq20
Developed and maintained the Ticketing/Complaint Management Portal, integrated role-based access control, deployed on cPanel, and implemented a support chatbot to automate user queries and improve service efficiency.
Worked on research and development of computer vision models for healthcare applications, optimizing AI pipelines and improving diagnostic accuracy through advanced machine learning techniques.
Implemented and optimized ML models for predictive analytics and classification tasks, contributing to data-driven insights and model performance improvements in various applications.
Specialized in Artificial Intelligence with focus on Machine Learning, Computer Vision, and Natural Language Processing. Completed advanced coursework in AI algorithms, neural networks, and data science.
Completed intermediate education with focus on Physics, Chemistry, and Mathematics, laying foundation for engineering and technology studies.
Completed secondary education with distinction in science subjects.
Enterprise ticketing and complaint management system for Government of Pakistan, Ministry of Information and Technology & Telecom, NTC Data Center. Features role-based access, support chatbot, and efficient ticket tracking.
Research by Muhammad Touseeq. AI system combining computer vision (YOLOv8x) and NLP (Flan-T5) to detect smart city incidents from CCTV data and generate actionable reports in milliseconds. Focuses on accidents, fire incidents, and cross-modal reporting.
A research project by Muhammad Touseeq that analyzes large-scale urban traffic and environmental data using data mining and machine learning. It predicts congestion, identifies anomalies, performs pattern recognition, and correlates traffic with weather conditions to support intelligent urban planning.
Comprehensive computer vision system for real-time goal detection, foul detection, player face recognition, and jersey number analysis using YOLOv8.
AI-powered document analysis chatbot using Streamlit, FAISS, and HuggingFace. Integrated with OpenAI & DeepSeek APIs for context-aware Q&A.
A professional, lightweight AI system using Vision Transformer (ViT) to detect COVID-19 and Pneumonia anomalies from Chest X-Ray images. Features rapid CPU-based inference, a user-friendly Streamlit interface, and real-time classification with confidence scores.
Next-gen augmented reality menu allowing customers to visualize 3D food models on their table before ordering. Built with WebXR and Flask.
I'm actively seeking opportunities in AI Engineering, Machine Learning, and Software Development. Feel free to reach out for collaboration, job opportunities, or just to discuss AI and technology!
