# Manthan Bhatt > Software Developer | Plansource Location: New York City Metropolitan Area, United States Profile: https://flows.cv/manthanbhatt Full-Stack Developer with 3+ years of experience in designing and deploying scalable web applications. Proficient in Java, Python, JavaScript, React.js, Spring Boot, and Node.js. Expertise in microservices architecture, AWS, Docker, Kubernetes, CI/CD pipelines, and distributed systems. Skilled in database optimization (MySQL, MongoDB), automated testing frameworks (JUnit, Mockito), and Agile methodologies. Delivering high- performance, secure, and scalable solutions ## Work Experience ### Software Engineer @ PlanSource Jan 2025 – Present | Florida, United States ### Software Developer @ Humana Jan 2023 – Jan 2025 | New Brunswick, New Jersey, United States • Spearheaded the development of a real-time risk analytics dashboard using React.js, leveraging ML models for fraud detection, enabling businesses to visualize key metrics with 40% faster data retrieval. • Designed Spring Boot-based microservices architecture, ensuring scalable API interactions and asynchronous event-driven communication via Kafka. • Upgraded security measures by implementing Log4j vulnerability patches, ensuring secure logging practices and compliance with cybersecurity standards. • Developed RESTful APIs in Node.js/Express.js, optimizing request-response cycles and improving API performance by 20%. • Deployed containerized services using Docker and Kubernetes, ensuring high availability, automated scaling, and fault tolerance on AWS. • Automated CI/CD pipelines via Jenkins and GitHub Actions, cutting down deployment time by 25% and enhancing build quality using SonarQube static code analysis. • Optimized PostgreSQL queries in AWS RDS, reducing query execution time by 18% through indexing and query caching. • Implemented JWT-based authentication and OAuth2, strengthening API security and ensuring HIPAA-compliant user access control. • Refactored a monolithic Claim Management System into microservices, achieving 30% improvement in system resilience and easier code maintainability. ### Software Engineer @ Capital One Jan 2022 – Jan 2023 | United States • Architected resilient Java-based microservices featuring RESTful APIs to improve system performance and reliability, increasing throughput by 30% while maintaining development principles. • Crafted interactive UI components through React JS implementation, establishing robust connections to back-end Java applications and achieving a 15% improvement in user satisfaction ratings. • Developed custom React Hooks to encapsulate reusable logic, improve code modularity, and optimize state management. • Utilized Redux and React Context for state management, leveraging Redux for complex, large-scale applications and React Context for simpler, lightweight state-sharing needs. • Optimized system performance by incorporating MySQL, significantly improving data handling and scalability. • Configured Jenkins and Docker for continuous integration (CI/CD), accelerating development cycles and ensuring high availability. • Deployed applications on Kubernetes, leveraging services for scalability, resilience, and load balancing. • Standardized logging across applications using SLF4J, improving monitoring and troubleshooting processes. • Managed source control using Git (Bitbucket), maintaining code integrity and fostering team collaboration. • Streamlined project management and issue tracking with JIRA, enhancing visibility and tracking. • Utilized Maven 3.x for building and managing project dependencies via pom.xml, ensuring consistent builds across environments. • Conducted unit testing with JUnit, ensuring robustness and reliability of both new and existing features. • Developed and maintained SQL and NoSQL database integrations, ensuring efficient data storage and retrieval. ### Research Assistant @ Pracsys Jan 2022 – Jan 2022 | New Brunswick, New Jersey, United States ● Performed comprehensive benchmarking using the ML4KP library for kinodynamic planners, analyzing and comparing the performance of the DIRT algorithm against state-of-the-art alternatives. ● Collaborated with a multidisciplinary team of 4 researchers to refine and optimize advanced algorithms, contributing to a 25% enhancement in algorithm performance. ● Utilized version control systems like Git to manage and track over 100 changes in code, ensuring seamless collaboration and integration of new features. ## Education ### Bachelor of Science - BS in Computer Science Rutgers University ### High School Diploma in Physical Sciences ShantiDevi Shukla Junior College of Science ### High School Diploma St. Xavier's High School - India ## Contact & Social - LinkedIn: https://linkedin.com/in/man1han - Portfolio: https://man1han.github.io --- Source: https://flows.cv/manthanbhatt JSON Resume: https://flows.cv/manthanbhatt/resume.json Last updated: 2026-04-13