
I am Alnoor Verjee, a Senior Software Engineer and AI specialist with over 17 years of experience delivering high-impact software solutions across fintech, gaming, data analytics, and enterprise platforms. Throughout my career, I have worked on products used by millions of users, generating significant commercial and social value.
At Smart Pension, I lead and contribute to advanced software and AI initiatives focused on automation, scalability, and intelligent user experiences. I developed SAVA, a digital human assistant designed to answer pension-related questions 24/7, improving accessibility and customer support. I also spearheaded AI-driven automation across engineering teams, reducing manual workloads and increasing overall productivity by approximately 50%, contributing to substantial business growth.
My role includes building frontend features using React, Angular, and TypeScript, developing backend systems across Python, Node.js, Java, Golang, and Scala, and leading cloud deployments on Google Cloud Platform to support data-intensive applications at scale.
At Camelot, I worked on high-profile consumer products, including Monopoly Riches, the biggest-selling National Lottery game of all time. This work significantly increased revenue and supported funding for good causes. I also designed and developed the Camelot Games Portal frontend using Angular and TypeScript, improving user retention and engagement.
My responsibilities covered both frontend and backend development, performance optimisation, animation integration, and cloud deployments across AWS and Azure to support high-traffic systems.
At IGT, I led the development of interactive gaming experiences, including a suite of children’s games deployed at the MGM Grand in Las Vegas. I designed frontend components using React and TypeScript, improved cross-platform compatibility using HTML5 and CSS3, and developed backend services in Python, Go, and Node.js to optimise data flow and scalability.
I also managed cloud deployments on AWS and Azure, ensuring reliability for high-traffic, customer-facing applications.
At GfK NOP, I worked on large-scale data collection and survey platforms for global brands such as Coca-Cola, Gillette, and Cadbury. I led the development of interactive online surveys and analytics systems, increasing completion rates from 8% to 25% and significantly improving data quality.
My work involved frontend development using JavaScript and AngularJS, backend systems in Python, Ruby, .NET, and C++, and database technologies such as PostgreSQL, alongside cloud infrastructure management on AWS and Azure.