Adnan Umer

I spearheaded the development of a secure and versatile deployment tool, which utilizes a custom templating engine and integrates seamlessly with leading infrastructure provisioning technologies like Terraform, Kubernetes, Ansible, Helm, and Docker. It offers a centralized platform for managing secrets, variables, and deployment workflows, streamlining the infrastructure deployment process.

Developed a comprehensive web application encompassing both front-end and back-end components and a custom extensible framework for internal deployment of machine learning models. Integrated payment processing using Stripe, enabling flexible billing solutions for users. Implemented white labeling features to allow for customization and branding by different clients and utilized modern technologies to ensure a seamless user experience and robust model integration, enabling efficient processing and insights extraction from various data sources. This project enhanced the organization’s capabilities in leveraging machine learning for real-time applications while providing a scalable payment infrastructure.

As a full-stack developer, I spearheaded the rewrite of the core application to support a broader range of insurance products beyond car insurance. I also collaborated with external providers to integrate their services, ensuring a seamless user experience with rich data and customizable dashboards. Additionally, I implemented automated deployments using Ansible to streamline efficiency.

This web application, developed as a research project, functions as a comprehensive market health monitor. It empowers businesses with data-driven insights on market opportunities, regional market share distribution across the US, and sales forecasting based on historical trends. This application showcases the potential for leveraging data to gain a competitive edge and make strategic decisions.

I led the re-architecture of the data retrieval process to optimize how student information was fetched from various sources, significantly improving efficiency. I implemented several sanity checks to ensure data integrity before loading, which enhanced the overall reliability of the system. Additionally, I developed a custom prerequisite parser to extract prerequisite data from an academic management system, enabling more accurate and streamlined degree planning processes.