
I am Alnoor Verjee, a Senior Software Engineer and AI expert with over 17 years of experience designing, building, and scaling production systems across fintech, gaming, data analytics, and enterprise platforms. My skill set spans frontend, backend, cloud infrastructure, and applied artificial intelligence, with a strong focus on delivering systems that create measurable business impact.
I have extensive experience designing and implementing scalable software systems using modern engineering principles. My background covers full-stack development, distributed systems, microservices, and event-driven architectures. I am comfortable working across the entire software lifecycle, from initial design and prototyping through to deployment, optimisation, and long-term maintenance.
I have built complex, user-focused interfaces using React, Angular, Vue, JavaScript, TypeScript, HTML5, and CSS, delivering highly interactive applications that significantly improve engagement and usability. My work includes large-scale consumer platforms and interactive gaming experiences, where performance and user experience are critical.
My backend experience includes building APIs, services, and data pipelines using Python, Node.js, Java, Scala, Golang, C#, .NET, PHP, SQL, Kafka, Spark, and ETL frameworks. I have delivered systems handling high throughput, real-time data processing, and large-scale analytics for global brands and enterprise clients.
I specialise in applied AI, automation, and intelligent systems. This includes building AI-driven assistants, automation platforms, and data-powered decision systems using Python, Pandas, NumPy, AI agents, and machine learning pipelines. My AI initiatives have reduced manual workloads and increased engineering productivity by up to 50%.
I have led and implemented cloud deployments across AWS, Azure, and Google Cloud Platform, using Docker, Kubernetes, Terraform, Jenkins, and Ansible to deliver scalable, secure, and resilient environments. My work includes improving deployment speed, system reliability, and operational efficiency for production systems.
I apply strong engineering discipline through unit testing, TDD, CI/CD pipelines, and clean code practices. I value maintainable systems, clear documentation, and pragmatic architecture decisions that balance speed with long-term sustainability.