Yugandhar Yalamanchili

Strong work ethic and a passion for learning. Eager to apply classroom knowledge to real-world challenges and contribute positively to team projects. Adaptable and quick to learn, with excellent communication skills and a drive for continuous improvement. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

• AWS Certificate by Coursera
• DevOps on AWS: Code, Build and Test
• AICTE Internship certificate, 12/2023, 01/2024, Completion of virtual internship in the domain of cloud computing from AND company
• Infosys/springboard, Successful completion of Practical AWS for DevOps: Exploring AWS DevOps Services
• IBM Developer Skills Network, Introduction to cloud provided by IBM

• Travelling
• Cooking

• Super Mario gameplay using reinforcement learning, This project we did this with a team of four as a mini-project this project used reinforcement learning and deep learning training a model to play the Super Mario game to reach the target and store that data for future use.
• Crop yield prediction using machine learning techniques, This project was a final year project with a team of four in this project we took the data from the different regions and predicted the yield of the crops for a particular season and also provided a basic login page where the user can log in and check the details of crop yield.
• Hosted a static website using AWS s3 Service Building CICD pipelines using AWS and Jenkins.
• Taking sample code of a static website by using a git repository to build a CICD pipeline and run the code making the website run in proper servers and using AWS to check the load balancing and networking and storage.
• Jenkins is also used for creating CICD pipelines some sample websites are taken from GitHub by using that repository using Jenkins deployed into the server and checking it function Building docker images.
• Building docker containers and deploying code into that container building docker images deploying in the local system and checking in the server using AWS