Swanith Ambadas
Java Full Stack Developer @ Freddie Mac || Former SDE at Cognizant || Full-Stack (MERN) & AI/ML Developer || Expertise in Docker, Kubernetes, AWS & Microservice architecture
- Role
- Java Full Stack Developer at Freddie Mac
- Location
- Buffalo, NY, US
- LinkedIn followers
- 500 followers
About Swanith Ambadas
Java Full Stack Developer with 4+ years of experience building scalable, secure, cloud-native applications for financial services and enterprise environments. Graduated with a Master’s degree in Computer Science from the University at Buffalo, with a strong foundation in software engineering and cloud computing.Experienced in Java 17, Spring Boot 3, Spring Security (OAuth2/JWT), Kafka, RabbitMQ, and microservices architecture, with hands-on expertise in PostgreSQL, MySQL, MongoDB, Redis, and DynamoDB. Skilled in developing modern frontends using React 18/19, Redux Toolkit, and Next.js to deliver high-performance, responsive user interfaces.Strong background in AWS (Lambda, ECS/EKS, API Gateway, S3), Docker, Kubernetes, Terraform, and CI/CD pipelines using GitHub Actions and Jenkins. Passionate about clean code, scalable architectures, and building reliable systems. Actively seeking opportunities in Java Backend, Full Stack, and Cloud Engineering.
Experience
Java Full Stack Developer
Feb 2025 — Present · US
Developed loan origination microservices using Spring Boot 3, Java 17, Kafka event streaming, and PostgreSQL, reducingend-to-end processing latency from 8s to under 2s for daily applications.• Participated in frontend modernization with React 19 + Next.js App Router and Redux Toolkit; implemented server-siderendering and SSR for real-time dashboard features, improving page load times and user engagement 35%.• Designed event-driven workflows using Kafka and RabbitMQ for loan processing pipelines; orchestrated CI/CD with GitHubActions and Terraform IaC, achieving zero downtime deployments and availability.• Optimized backend performance with Spring Security and Hibernate caching; conducted JVM tuning and database indexingon PostgreSQL, cutting query response from 2s to <200ms for high-volume financial reports.
Education
University at Buffalo
Master of Science - MS, Computer Science
Vellore Institute of Technology
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
2017 — 2021
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