Daniel Nashed

Background

About Daniel Nashed

Entrepreneurial Software Engineer | AI Products | Full-Stack Dev I'm a motivated software engineer passionate about leveraging AI to solve real-world problems and drive innovation. At Johns Hopkins, I’ve demonstrated leadership and technical expertise across multiple impactful roles: • Co-founded a startup to develop an AI-powered app translating American Sign Language into English voice, securing $12K in funding through Johns Hopkins Technology Ventures and winning a pitch competition as a finalist. • Helped launch a successful iOS app as a Fullstack Engineer at NetworkTree, an early-stage startup backed by Columbia University Business School accelerator program. • Scaled AI initiatives as VP of Johns Hopkins AI Society, doubling membership through engaging live coding workshops, Kaggle competitions, and industry-speaker events. • Delivered a 3x faster project timeline as Lead AI Consultant for the Johns Hopkins Business School by building an ML pipeline for automated document processing. My focus areas include machine learning, generative AI and computer vision. I specialize in developing full-stack AI-powered web applications, building scalable cloud-native solutions and microservices, and training/fine-tuning ML models.