Dev Patel

A motivated and research-oriented Computer Engineer specializing in Artificial Intelligence, with a strong foundation in machine
learning, web development, and Integrated AI. Currently pursuing a Master’s in Artificial Intelligence at the University of Nebraska
Omaha, I bring over 2 years of professional experience as a Software Engineer, where I applied innovative solutions to real-world
problems. I am driven by a passion for combining cutting-edge deep learning with domain-specific knowledge to create
transparent, impactful, and human-centered AI systems

Technologies: Python, PyTorch, Deep Learning, CNNs, YOLO

• Implemented CNN-based YOLO architectures for real-time object detection tasks
• Conducted experimental evaluation using standard detection metrics (Precision, Recall, mAP)
• Studied adversarial attacks (e.g., FGSM, PGD) on object detection models
• Evaluated model robustness under adversarial perturbations and real-world noise
• Analyzed security vulnerabilities and failure modes in vision-based AI systems
• Investigated trade-offs between detection accuracy and computational efficiency
• Explored model generalization across diverse visual and environmental conditions

Technical Skills

• Design and implementation of machine learning and deep learning models using Python
• Performance analysis using standard metrics with a focus on robustness and generalization
• Programming Skills: Python, Deep Learning, Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Computer Vision (Transformers), PyTorch, TensorFlow, JavaScript, HTML, CSS, MySQL, React.js (Basic), PHP (Basic)