Anil Kumar Reddy Sangareddigari

I played a key role in the Integrations and Platform team, contributing to the development of an Integration Engine facilitating seamless data transfer between various CRMs and Outplay.

• Worked in an Agile team of .NET developers for a fast paced developing Sales Engagement platform.
• Created a workflow engine with Kafka services for automating tasks of outplay.
• Developed an Integration Engine to Integrate CRMs to Outplay product which automates syncing data from Outplay to CRMs and vise versa.
• Designed and developed several PostgreSQL stored procedures, user defined functions, Triggers and Views for optimizing DML functionality..
• Made significant contributions to an innovative event-driven microservices application, focusing on refining architecture and seamlessly implementing Outplay's consumer functionalities using .NET Core, Web APIs, MVC, Entity Framework, LINQ and PostgreSQL.
• Played a significant role in UI development for Integrations and APIs, improving user experience through intuitive settings interfaces, seamless data mappings, and detailed statistics and graphs using Angular.

• Applied practical and theoretical knowledge of coding languages and frameworks including C#, Typescript, .Net, and Angular, to contribute effectively to software development initiatives.
• Gained valuable experience and skill enhancement by actively participating in Agile frameworks, fostering a dynamic and collaborative work environment.
• Developed a Dashboard for the Workflow Engine at Outplay, showcasing proficiency in creating user-friendly interfaces and contributing to the enhancement of workflow management tools.

Worked on project focused on counting leaves in Indian crop field images using deep learning techniques.

• Developed a Convolutional Neural Networks model with a multitasking approach to accurately count leaves, making farming processes more efficient.
• Demonstrated strong skills in model building and writing programs to support research.
• Published a research paper titled 'Study on Deep Convolutional Neural Networks for Leaf Counting,' adding valuable insights to the field.