Kavya Venna
Full stack software engineer @ Cognizant | MCA
- Role
- Product Tech Associate and Software Engineer at Cognizant
- Location
- Scottsdale, AZ, US
- LinkedIn followers
- 500 followers
About Kavya Venna
As a Product Tech Associate at Cognizant, I harness my academic prowess from Vellore…
Experience
Product Tech Associate and Software Engineer
Jul 2024 — Present · AZ, US
Developed and managed web applications using C#.Net Core MVC Web API and integrated with Angular and React for dynamic front-end functionality. Utilized Entity Framework and LINQ to build efficient data models and queries, ensuring optimized interactions with MySQL databases. Optimized database performance by writing MySQL stored procedures and utilizing LINQ for efficient data querying. Designed RESTful APIs using Swagger, improving the API development lifecycle and ensuring easy testing and documentation. Implemented front-end functionality using Angular and React, with JavaScript to build dynamic, user-friendly UI components. Managed Agile workflows using Azure DevOps Sprint Boards, ensuring efficient task tracking and timely delivery of features. AI Ticket 360 Project• Led the development of \'AI Ticket 360\', a productivity-enhancing internal tool to accelerate ticket resolution using AI. • Developed a Windows Forms utility in Visual Studio 2022 to migrate data from legacy ticket DB to project DB, and automated daily data migration using a Windows Service with success email notifications. • Built a Search Service to index ticket data into Azure Search, enabling fast semantic querying for ticket history. • Designed backend APIs using ASP.NET 8 Core MVC and integrated Azure OpenAI GPT-4 via Semantic Kernel to provide analyst suggestions, similar ticket lookup, documentation retrieval, and action plans. • Created Angular-based frontend UI integrating AI-powered APIs to streamline ticket triage, assignment, and resolution. Implemented an Analyst Suggestion Engine to recommend ticket assignment based on bandwidth. • Utilized Speech-to-Text services from Azure AI to transcribe voice-based ticket descriptions. • Led a team of 2 interns, guiding them through sprint planning, code reviews, and testing cycles.
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