AI & Deep Learning
CNNs, RNNs, LSTM, YOLOv8/v11, transfer learning, neural network architectures.
Waqas Ahmad
AI Engineer specializing in Computer Vision, Deep Learning, YOLO & LSTM systems.
AI Engineer specializing in Computer Vision, Deep Learning, YOLO & LSTM systems.
AI and Machine Learning Engineer specializing in Deep Learning and Computer Vision. Experienced in building real-world AI systems including autonomous driving, predictive modeling, and object detection pipelines. Currently working as an AI Developer at CAIET Mardan after completing an internship at NCAI Lab Peshawar.
Hands-on experience in AI and software development with strong skills in model building, computer vision, and system integration.
CNNs, RNNs, LSTM, YOLOv8/v11, transfer learning, neural network architectures.
Pandas, NumPy, Scikit-learn, data labeling, annotation, feature engineering.
Python, JavaScript, HTML, CSS, SQL, scripting, automation, data processing.
Core technical strengths and experience across AI, vision systems, and model deployment.
Python, OpenCV, and YOLO are the foundation of my AI development work, with strong practical experience building production-ready systems.
Hands-on experience building AI systems and contributing to innovative tech projects.
NCAI Lab Peshawar
Codsoft
Selection of innovative AI and computer vision projects that showcase problem-solving and technical expertise.
Designed autonomous driving system using CNN and OpenCV. Implemented lane detection, object recognition, and decision-making module for vehicle control.
Developed LSTM-based time series prediction model for weather analysis. Integrated Flask backend for real-time web deployment with interactive UI.
Built YOLOv11 model for 9-class banana plant disease detection. Achieved high accuracy in identifying plant health issues for agricultural solutions.
Implemented OpenCV-based vehicle detection and parking automation system. Real-time parking space management with automated alerts.
Developed real-time violence detection using deep learning and video analysis. Deployed for security surveillance and safety monitoring.
Built CNN-based model for real-time face mask detection system. Achieved 98% accuracy for automated health compliance monitoring.
Worked on pothole and road crack detection system for C&W KPK. Automated infrastructure monitoring for maintenance and safety assessment.
Developed AI-based system for weapon detection and FIR-related monitoring. Advanced computer vision for public safety and law enforcement.
Prepared technical analysis report on KP flood events and impact assessment. Data-driven insights for disaster management and prevention.
Certificate of Participation — 2024
Showcased innovative AI/ML-based project at university-level science exhibition
2nd Position — Poster Design Competition
3rd Position — Speed Coding Competition
Participation — Hackathon Softcom 25
Proven leadership experience and professional certifications from top institutions.
Technology & Innovation Society
Led technical workshops and managed events for 200+ students across the university.
University Help Desk
Developed a comprehensive support system serving 600+ students across departments.
Zindigi Prize
Managed event operations, team coordination, and startup engagement activities.
AWKUM
Represented and coordinated chapter-level activities and student initiatives.
AWS Community
Organized technical sessions, workshops, and community events on cloud computing.
Harvard University
Comprehensive introduction to AI and Python programming from world-class institution.
Coursera
Fundamental Python programming skills and best practices.
Catalyst GIK — 04 July 2024
Role of supercomputers and AI in entrepreneurial institutes.
Catalyst GIK — 02 July 2024
Creative and critical thinking for effective problem solving.
Catalyst GIK — 04 July 2024
Effective storytelling and investment communication strategies.
Catalyst GIK — 26 June 2024
Advanced techniques for problem solving and strategic decisions.