PRANITHA REDDY MUSKU
Full Stack Java Developer ************@*****.*** +1-913-***-****
www.linkedin.com/in/pranitha-reddy-musku
PROFESSIONAL SUMMARY
Full Stack Developer with around 4 years of experience building scalable enterprise applications in finance and insurance domains. Strong in Java (8–17), Spring Boot, Hibernate, and REST/GraphQL APIs, with hands-on experience in microservices and event-driven systems using Kafka and RabbitMQ. Skilled in frontend development using React, Angular, TypeScript, JavaScript, HTML/CSS, and Bootstrap to build responsive applications. Experienced with PostgreSQL, Oracle, MySQL, Redis, Snowflake, and cloud platforms like AWS and Azure, along with Docker, Kubernetes, Jenkins, and CI/CD pipelines. Focused on security and performance using Spring Security, OAuth2, JWT, Okta, with experience in testing (JUnit, Selenium) and monitoring using Splunk and CloudWatch in Agile environments.
TECHNICAL SKILLS
• Programming Languages: Java (8–17), Python, SQL, PL/SQL, C, Kotlin
• Backend Technologies: Spring Boot, Spring MVC, Spring Data JPA, Hibernate, Spring Batch, REST APIs, GraphQL, Node.js, Resilience4j, SOAP Web Services, Feign Client
• Frontend Technologies: React, Angular, TypeScript, JavaScript (ES6+), Redux, HTML5, CSS3, Bootstrap
• Databases: PostgreSQL, Oracle, MySQL, Redis, Snowflake
• Messaging & Integration: Apache Kafka, Kafka Streams, RabbitMQ
• Cloud Platforms: AWS (EC2, S3, Lambda, Glue, ECS, S3 Glacier), Azure
• DevOps & Tools: Docker, Kubernetes, Jenkins, CI/CD Pipelines, SonarQube, Maven, Gradle, Git, GitHub, IntelliJ IDEA, VS Code
• Testing & Automation: JUnit, Mockito, Selenium, Playwright, Postman, Swagger/OpenAPI
• Security & Compliance: Spring Security, OAuth 2.0, JWT, Okta SSO, HIPAA, PCI DSS
• Monitoring & Logging: Splunk, AWS CloudWatch
• Methodologies: Agile (Scrum), Continuous Integration, Continuous Deployment. EXPERIENCE
Bank of America Feb 2024 - Present
Software Developer Texas, USA
• Designed and enhanced Spring Boot microservices for payment routing, reconciliation, and fraud analysis pipelines.
• Implemented real-time fraud detection workflows using Kafka Streams, achieving detection latency under 300 milliseconds for high-risk transaction patterns.
• Built and exposed REST and GraphQL APIs to integrate clearing-house platforms with internal AML and compliance systems, improving data availability across teams.
• Automated end-of-day reconciliation and ledger balancing using Spring Batch, reducing manual intervention and review effort by 65%.
• Optimized complex Oracle PL/SQL queries and stored procedures in Oracle, increasing reconciliation throughput by 45%.
• Introduced Redis caching to minimize repetitive database access, reducing query load by 60% and improving response times.
• Developed Angular dashboards for real-time monitoring of fraud trends and reconciliation exceptions, enabling faster operational decision-making.
• Strengthened API security using Spring Security and OAuth 2.0 with MFA enforcement, aligning with banking compliance standards.
• Contributed to CI/CD pipelines using Jenkins and Docker, enabling consistent, low-risk deployments across environments.
Liberty Mutual Insurance Jan 2021- Jul 2023
Java Developer Bangalore, India
• Developed and enhanced Spring Boot microservices supporting insurance policy management, claims processing, and customer servicing workflows across multiple business applications.
• Built REST and SOAP APIs to integrate internal insurance platforms with third-party underwriting, payment, and customer verification systems, improving operational data flow and processing reliability.
• Implemented Kafka-based event-driven workflows for real-time claim status updates and policy transaction processing, reducing processing delays during peak business periods.
• Designed and optimized JPA entities, Oracle SQL queries, and stored procedures to efficiently manage high-volume policy and claims data, reducing reporting response times from 10 seconds to under 2 seconds.
• Developed internal React dashboards for monitoring claims lifecycle status, policy servicing metrics, and operational exceptions, enabling faster issue resolution by support teams.
• Applied Resilience4j fault-tolerance patterns including retry, circuit breaker, and fallback mechanisms to improve application stability and reduce service downtime.
• Improved code quality and release reliability by implementing unit and integration testing using JUnit and Mockito, maintaining over 90% test coverage across critical services.
• Supported containerized deployments using Docker and AWS EC2 while monitoring application logs and production performance using Splunk and CloudWatch.
• Collaborated with cross-functional Agile teams to deliver secure and scalable backend services aligned with insurance compliance and data security standards. PROJECTS
Machine Learning Based Handwritten Digit Recognition
• Built a handwritten digit recognition model using machine learning algorithms trained on MNIST dataset to accurately classify digits from image inputs.
• Performed image preprocessing and feature extraction to improve model accuracy and reliability for real-time digit recognition.
• Achieved high classification accuracy of 96% by evaluating and tuning model performance across multiple handwritten digit samples.
Fall Detection System for Elderly People
• Built an IoT-based fall detection system using MPU6050 and NodeMCU (ESP8266) to detect sudden motion and orientation changes indicating a fall.
• Enabled real-time SOS alerts through Google Firebase and a Kodular-based Android app, with integrated buzzer alerts to ensure immediate assistance. Customer Loyalty Program
• Built a full-stack rewards system with modules for authentication, transaction history, and redemption.
• Optimized 20+ relational tables and SQL queries to improve query speed and efficiency.
• Implemented server-side rendered JSP views to support secure user interactions and transactional workflows.
EDUCATION
Master’s in computer science — University of Central Missouri