AMIRISHETTY RAKESH

Project Name: IPortman

Description: A web-based integrated management solution for seaports and terminals to manage operations including marine, cargo, yard, berth planning, container logistics and billing.

Responsibilities:

• Developed UI forms, controllers using Spring MVC to capture data for various operations
• Implemented server-side input validation using Hibernate validators
• Added client-side validation rules using JavaScript to ensure data integrity
• Persisted web form data into SQL database using Spring Data JPA repository interfaces
• Created RESTful web services using Spring Boot to expose functionality to front-end
• Employed Exception Handling, Logging and custom HTTP codes for maintainability
• Collaborated with business analysts to understand and translate requirements into technical design
• Contributed towards building integrations, process and controller layers based on SOA

Project Name: Bread Financial Systems Integration

Description: Migration of legacy Mainframe systems and distributed applications to Azure cloud involving re-platforming, re-hosting, and integration.

Responsibilities:

• Designed and implemented scalable RESTful APIs using Spring Boot to expose core functionalities and integrate with client’s systems
• Built reusable microservices conforming to defined architecture principles like clean code, SOLID design
• Created JUnit test suites using Mockito
• Instrumented applications to enable monitoring, logging and tracing with Azure App Insights
• Collaborated with architects and cross-functional teams through the delivery life cycle using Agile methodology

Project: Detection-D

Description: Nvidia Drive AGX is an autonomous vehicle computing platform that powers self-driving capabilities, Nvidia's Drive AGX chip will provide its object detection abilities for self-driving vehicles.

Responsibilities:

• Manually labeled images to identify visible objects like pedestrians, vehicles, traffic signs, etc. on roads using annotation guidelines
• Captured and saved labeling information into Nvidia's HATCH annotation tool
• Helped generate high quality training data for Nvidia Drive AGX platform to detect objects accurately on roads
• Contributed towards development of Detection-D dataset to train algorithms for self-driving vehicles