Shresth Pal

Software Engineer at MS Infotech LLC

Managed end-to-end development of a high-performance insurance claims processing system utilizing Java 17 and Spring Boot 3.0, handling over 1000+ concurrent claims and reducing processing time by 40%. Integrated Claude 3 API with custom LangChain4j pipeline for AI-powered document analysis to automate data extraction and validation, cutting manual review time by 65%. Implemented caching strategies with Spring AOP and Redis to improve claims verification speeds and system scalability. Modernized legacy communication using Java Records and MapStruct to reduce data conversion errors by 5%. Containerized microservices with Docker and configured Jenkins-based CI/CD pipelines for seamless production deployment. Maintained Agile Scrum practices, collaborated with cross-functional teams, and ensured over 90% unit test coverage with JUnit 5 and Mockito.

Software Engineer at UTARI

Developed a cloud-native health monitoring application ingesting real-time biometric data from Android Wear and third-party APIs like Fitbit and Google Health using Java, Spring Boot, and RESTful APIs. Created a robust data pipeline with Apache Airflow, reducing ingestion latency by 40%. Integrated AWS SageMaker machine learning models for predictive health insights, real-time anomaly detection, and risk scoring. Designed secure OAuth 2.0 authentication and scalable MongoDB storage ensuring compliance and performance. Built an interactive ReactJS dashboard for health metrics and deployed containerized microservices on AWS EC2 leveraging Docker and Kubernetes. Automated builds and deployments through Jenkins-based CI/CD pipelines, accelerating release cycles by 50%.

Software Developer at NTT Data Services

Engineered scalable backend services within a modular microservices architecture using Java, Spring Boot, and RESTful APIs hosted on Microsoft Azure to support enterprise client content and product management. Integrated Elasticsearch to optimize search latency by 50%, enhancing user experience. Designed relational data models with PostgreSQL and implemented JPA, Hibernate, and JDBC for efficient data integrity. Leveraged Redis caching to reduce database load, improving API response times by 40%. Achieved over 90% test coverage with JUnit and Mockito and improved CI/CD workflows through Docker containerization.

Software Engineer at MS Infotech LLC

Led end-to-end development of a high-performance insurance claims processing system using Java 17 and Spring Boot 3.0, leveraging virtual threads to support 1000+ concurrent claims and reduce average processing time by 40%. Implemented an AI-powered document analysis module by integrating Claude 3 API with a LangChain4j pipeline to automate extraction, classification, and validation of claim data, cutting manual review time by 65%. Implemented annotation-driven caching with Spring AOP and Redis to accelerate claims verification, improving peak-load latency from 120 ms to 35 ms. Modernized legacy-to-microservices communication with Java Records and MapStruct for type-safe data mapping, reducing data conversion errors and improving maintainability by over 5%. Containerized microservices with Docker and built CI/CD pipelines in Jenkins to enable seamless delivery, versioning, and rollback in production. Practiced Agile Scrum with 90%+ unit test coverage using JUnit 5 and Mockito, contribu

Software Engineer at UTARI

Developed a cloud-native health monitoring application using Java, Spring Boot, and RESTful APIs to ingest real-time data from Android Wear devices and third-party APIs such as Fitbit and Google Health. Built a robust data pipeline with Apache Airflow, reducing ingestion latency by 40% and enabling timely processing of high-volume biometric data. Integrated and deployed machine learning models using AWS SageMaker to deliver predictive health insights, supporting real-time anomaly detection and risk scoring. Designed secure authentication using OAuth 2.0 and implemented scalable data storage using MongoDB, ensuring compliance and performance across distributed systems. Built an interactive ReactJS dashboard for visualizing health metrics and deployed containerized microservices on AWS EC2 using Docker and Kubernetes, ensuring high availability and fault tolerance. Automated build-and-deploy workflows using Jenkins-based CI/CD, reducing release cycle time by 50%.