Zaid Shaikh

I’m a recent Data Science and AI graduate with hands-on expertise in developing production-ready software solutions beyond academic prototypes. During my internship at Prism Cybersoft, I delivered 8 end-to-end applications using .NET 8, Angular, Python, and SQL Server, deployed on Azure and AWS, while working in a collaborative Agile environment.

I focus on the intersection of machine learning and full-stack engineering—building RESTful APIs, training predictive models, and crafting responsive frontends. I designed authentication and security with JWT-based stateless authentication, RBAC, BCrypt password hashing, and implemented real-time communication with SignalR; I also configured CI/CD pipelines and cloud infrastructure.

My technical portfolio includes a churn prediction system with 80.9% accuracy, an intelligent AI news analyzer that extracts structured summaries and sentiment with LLM + LangChain, and an enterprise event management platform with real-time QR validation. I’m committed to driving impactful results through rapid learning and consistent technical contribution.