# Shishir Yadav > Java Full Stack Engineer | Java 17, Spring Boot, Microservices, Kafka | AWS, Kubernetes | Fintech & Insurance Systems Location: New York, New York, United States Profile: https://flows.cv/shishiryadav 👋 About Me Java Full Stack Developer with 3+ years of experience building enterprise-scale, cloud-native applications across US mortgage finance, capital markets, insurance, and risk platforms. I specialize in designing scalable Java microservices, secure APIs, and modern Angular/React frontends that power high-volume, compliance-driven financial systems. I’ve worked on end-to-end delivery — from system design and backend architecture to responsive UI development, cloud deployment, and CI/CD automation. I enjoy modernizing legacy systems, solving complex performance problems, and collaborating with cross-functional teams to deliver resilient, audit-ready solutions that improve business outcomes. 📍 Open to Full-Stack / Backend-focused roles 💡 Passionate about clean architecture, event-driven systems, and cloud scalability Backend: Java 17, Spring Boot/Cloud/Batch, REST APIs, API Gateway, Microservices, DDD, Async Processing, Transactions Frontend: Angular (15+), TypeScript, RxJS, NgRx, React.js, JavaScript (ES6+), HTML5, CSS3 Security: Spring Security, OAuth 2.0, JWT, RBAC, Secure APIs, Audit Logging Data: PostgreSQL, Oracle, MySQL, MongoDB, Redis, Hibernate, JPA, Query Optimization, Batch Processing Messaging: Apache Kafka, RabbitMQ, Event-Driven Systems Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD (Jenkins, GitHub Actions, GitLab) Testing & Tools: JUnit, Mockito, Selenium, ELK, Prometheus, Grafana, Git, Maven, Postman Concepts: System Design, Distributed Systems, OOP, Design Patterns, Agile ## Work Experience ### Java Full Stack Developer @ Freddie Mac Jan 2025 – Present | Florida, United States • Architected mortgage loan origination and underwriting services using Java 17, Spring Boot, Spring Cloud, RESTful APIs, enabling straight-through processing for borrower applications and reducing underwriting turnaround time by 32%. • Developed regulatory-compliant authorization workflows with Spring Security, OAuth 2.0, JWT, role-based access control, strengthening audit readiness and safeguarding sensitive borrower, credit, and property data. • Built reactive and modular user interfaces using Angular 15+, TypeScript, RxJS, NgRx, improving loan officer productivity and accelerating application review workflows by 28%. • Implemented asynchronous mortgage event processing with Apache Kafka and message-driven consumers, enabling near real-time propagation of loan status, payment, and delinquency events across downstream risk systems. • Optimized large-scale mortgage portfolio data handling using Hibernate/JPA, PostgreSQL, query tuning, batch processing, supporting high-volume loan analytics while reducing reporting execution time by 40%. • Deployed and monitored cloud-native applications using Docker, Kubernetes, AWS, CI/CD pipelines, automated testing, improving release reliability and ensuring consistent performance during peak mortgage origination cycles. ### Java Full Stack Developer @ Persistent Systems Jan 2021 – Jan 2023 | India • Engineered scalable insurance policy and claims microservices using Java 11, Spring Boot, Spring MVC, REST APIs, Hibernate/JPA, reducing manual claim processing effort by 40% and accelerating settlement timelines across high-volume insurance workflows. • Implemented secure authentication and authorization layers with Spring Security, OAuth 2.0, JWT, RBAC, ensuring regulatory compliance and protecting sensitive financial and policyholder data for 50K+ concurrent users. • Designed an event-driven underwriting and risk evaluation pipeline leveraging Apache Kafka, Redis, Spring Cloud, enabling real-time credit risk assessment and improving underwriting decision accuracy by 30%. • Developed responsive financial dashboards using React.js, TypeScript, Redux, Chart.js, delivering real-time visibility into policy status, claims history, and premium utilization, leading to 25% higher customer engagement. • Optimized relational data models and queries with PostgreSQL/MySQL, indexing, transaction management, cutting API response latency by 35% while supporting high-throughput financial transactions. • Containerized and deployed full-stack applications using Docker, Kubernetes, AWS EC2, improving release stability and enabling horizontal scaling during peak insurance enrollment and renewal cycles. • Automated CI/CD workflows with Jenkins, Maven, Git, unit and integration testing, reducing deployment failures by 45% and ensuring faster, audit-ready releases for enterprise finance platforms. ## Education ### Master of Science - MS in Computer Science Purdue University ### Bachelor of Technology - BTech in Computer Science GITAM Deemed University ## Contact & Social - LinkedIn: https://linkedin.com/in/shishiry1712 --- Source: https://flows.cv/shishiryadav JSON Resume: https://flows.cv/shishiryadav/resume.json Last updated: 2026-04-05