SHASHIDHAR REDDY J

Ninja is a real-time AI ML -powered platform designed to detect fraud and assess risk in transactions across credit cards, debit cards, digital payments, loan and card applications.

• Designed and developed highly scalable and resilient applications to meet tight SLAs and handle high transaction processing rates (TPS) of over 1,000.
• Built micro services using Java, Spring Boot, Cassandra, and Kafka for efficient, distributed application architecture.
• Developed applications on AWS, with hands-on experience in leveraging Apache Airflow for workflow automation and orchestration.
• Collaborated cross-functionally with multiple teams to aggregate AI model features and define data lineage requirements.
• Created proof-of-concept solutions for innovative applications to improve business processes and technology adoption.
• Developed utility libraries to streamline domain translation between various systems for improved interoperability.

• Built microservices using Java, Spring Boot, and Apache Camel to develop efficient, scalable solutions.
• Designed and managed API proxies on APIGEE for secure, reliable API management and integration.
• Created and configured AWS resources, including EC2 instances, ECS clusters, Lambda functions, load balancers, IAM policies, and roles for users.
• Engineered an orchestration layer for routing and asynchronous processing of events and JMS messages.
• Analyzed client business processes to propose tailored software solutions for unique operational needs.
• Investigated and resolved system issues to enhance usability, functionality, and performance.
• Applied Agile methodology, utilizing JIRA for user story planning, sprint tracking, and progress monitoring.

• Migration of existing services from on-premises infrastructure to AWS, improving scalability and cost-efficiency.
• Built and deployed Docker images, pushing them to Amazon ECR for seamless container management.
• Orchestrated large-scale software deployments, ensuring efficient release processes and minimal downtime.
• Revised, modularized, and updated legacy codebase to modern development standards, resulting in reduced operating costs and enhanced functionality.
• Collaborated with software development and testing teams to design and implement robust solutions that met client requirements for functionality, scalability, and performance.

• Understand existing Implementations, adding new functionalities, fixing defects to ensure smooth functionality
• Preparing solution proposals and document of understanding outside data sources in coordination with cross-functional teams to define, design and ship new features
• Maintained existing applications and designed and delivered new applications
• Performed regression and system-level testing to verify software quality and function prior to release