Michael Gulbis

Designed and implemented scalable AI-driven web applications using Angular and ASP.NET, integrating LLM APIs for natural language processing features. Built and supercharged RESTful APIs and real-time data processing modules to support seamless AI interactions and dynamic user experiences.

Led the full stack development of web applications using ASP.NET for back-end services and Angular for front-end interfaces, ensuring seamless functionality and high performance. Collaborated closely with UI/UX designers to implement responsive, user-friendly interfaces that boosted the customer experience and increased web application engagement by 25%.

Designed and rolled out the Fleet Management System using React for external-facing web applications and Angular for internal systems, effectively leveraging modern technology to meet complex, multifaceted business needs, and ASP.NET for the back-end, providing a smooth user experience for managing fleet operations. Instituted optimization strategies for database queries and back-end logic, result

Led the development of a full-fledged eCommerce platform using ASP.NET for back-end services, Angular for the front-end, and AWS Lambda for serverless computing, delivering a highly scalable, cost-effective solution. Designed and fine-tuned the database architecture using MySQL, ensuring efficient data processing and management for product catalogs, user data, and transactional records.

Led the full-stack development of a social media web application using Angular for the front-end and Node.js for the back-end, creating a dynamic and user-friendly interface for connecting users across various social features. Managed and turbocharged data storage using MongoDB for primary data management and Redis for session storage and caching, ensuring high performance and scalability of the a

Studied Computer Science at the University of Canterbury from April 2009 to April 2013. Gained foundational knowledge and skills in various aspects of computer science.