Mohan Sandeep Yeluri

• I worked on a project called "Funding", which is used to sanction the loan amount to the end customer who applied for a multi-family loan (Group of apartments or housing societies).
• This project made use of Java 17, Annular 15, MongoDB, and Control-M. Jenkins was used for pipeline deployment.
• I worked at both the front and back end, developed, tested, and maintained the application.
• Managed version control systems and maintained codebase integrity.
• Utilized Agile methodologies to manage project timelines and deliverables efficiently.
• Deployed software updates and patches to ensure security and functionality.

• Worked in a banking-related application where Visa and Mastercard were the clients. I oversaw the application, completing the tasks on schedule as agreed upon in sprint planning. This application is a hybrid since it uses both the C# and Java programming languages, and uses Vue JS for the user interface, and it was deployed using TeamCity.
• Also worked on Groovy to implement a dynamic library to read data from any Excel as per the requirements.
• Integrated third-party APIs and services to enhance software functionality and interoperability.
• Investigated production issues reported by users and provided timely resolutions.

• Worked on the Big Data tools and was part of the team that developed the Spark-AWS Smart Connector. It facilitates processing a vast amount of data from Amazon S3.
• I have built Apache Spark clusters in Windows environments as it was an R&D project, and I have successfully delivered it and also made it into production.
• Designed databases to store application data using SQL Server or MongoDB technologies.

• Core Java, Spring Framework, Apache Tomcat, SQL, Cloud, GIT, and OAuth, JWT Authentications were used to create and administer various apps. Listed below are a few of the projects.

eKYC Authentication for Mahindra:

• This project assists Mahindra collection agents in authorizing clients based on their Aadhar numbers and biometrics, such as fingerprints and iris scans. Since this project involved a mobile application, I served as web-side support for it.

Teller for LTF:

• This project includes all the functionality, including receipting, depositing, canceling created receipts, and producing data-based reports. I play the roles of a UI developer and the backend processor for the project's data collection.

Integrating Payment Gateways for LNT Collections:

• L&T Finance has integrated a number of payment gateways into its collection process, including Mswipe, Paynimo, and CCavenue. Integrating those services is my responsibility for this project.

Effort Plus:

• The location of the employee was tracked, and user photos were taken using machine learning algorithms to cross-validate the employee's already-existing database image.