Shivam Gupta is a dedicated Dot Net Full Stack Developer with over 5 years of experience in developing and testing features for various core projects. He has a proven track record of troubleshooting and fixing bugs, leading to significant performance improvements. His expertise spans both front-end and back-end development, with a strong focus on Azure cloud services for deployment and project management. Shivam is proficient in using version control systems and project management tools, ensuring efficient project delivery.
Reduced project loading time by about 90% through effective bug fixing.
Achieved 80% code coverage for unit and integration testing in key projects.
Utilized Azure services across multiple projects for deployment and management.
Reduced project loading time by about 90% through bug fixing in the Closure Incident Feed Service.
Reduced automation timing by about ~30% using efficient data structures for the DIMTS project.
Overview: Smart Inventory tracks running inventory and locations, aiding in expansion processes like cable route planning and network availability checks. Responsibilities: Developed and tested features using ASP.NET MVC, jQuery, and Google Maps API. Added data layers and modified functionalities to an existing project.
Overview: This was an in-house project designed to provide data for updating third-party applications. Responsibilities: Developed and tested features using ASP.NET MVC, jQuery, and Google Maps API. Participated in bug fixing and actively reduced loading time.
Key outcomes:
Reduced loading time by about 90% through active bug fixing.
Overview: The system is built on an onion architecture using the ABP framework to manage complaints. Responsibilities: Developed unit testing and integration testing using x-unit and C#. Achieved code coverage of testing to about 80%.
Key outcomes:
Made code coverage of testing to about 80%.
Overview: DIMTS is a transit service that collects data for the Delhi metro from its website. Responsibilities: Reduced automation timing by about ~30% using efficient data structure techniques. Provided bug fixes and added functionalities.
Key outcomes:
Reduced automation timing by about ~30% by using efficient data structure techniques.
Shivam Gupta
Azure .net