Stack Developer Front-End

Vinay Jagannavar

FULL STACK DEVELOPER

+1-315-***-**** *******************@*****.*** Portfolio LinkedIn SUMMARY

Full Stack Developer with 5+ years of experience in Java, Spring, NodeJS and AWS cloud-based deployment; skilled in microservices, SDLC, and responsive front-end development with React and Angular. Proven ability in building scalable applications with a focus on best practices. SKILLS

• Languages: Java (8,14), JavaScript, TypeScript, Python, C, C++, Go, Kotlin.

• Java Technologies: JPA, Java Server Pages (JSP), Servlets, JDBC, Java Message Service (JMS).

• Frontend Development: React, Redux, Angular, jQuery, HTML, CSS, Bootstrap, ES6, Babel, Webpack, Wireframe, Figma, Swagger.

• Backend & Frameworks: Spring Framework, Spring MVC, Spring Boot, Spring Cloud, Spring Security, Spring AOP, Hibernate, Struts, Node.js, Express.js, Next.js, FastAPI.

• Databases: MySQL, PostgreSQL, MongoDB, Cassandra, Firebase, Oracle, MS SQL Server, Redis.

• Cloud Technologies & DevOps: AWS (EC2, ECS, S3, Lambda, DynamoDB, RDS, SQS), Apache Kafka, Kubernetes, Terraform, Ansible.

• API Development: RESTful APIs, GraphQL, gRPC, SOAP, WSDL, Spring-WS

• CI/CD & Tools: Jenkins, CodeShip, Azure DevOps, Git, GitHub, Jira, Maven, Gradle, VS code, IntelliJ IDEA.

• Testing & Automation: JUnit, Karma, Jasmine, Mockito, Selenium, Mocha, Spring Integration tests, Postman.

• Observability & Monitoring: AWS CloudWatch, Splunk, ELK Stack, Jaeger, Elasticsearch, Kibana, Prometheus, Log4js.

• Application Servers & Operating Systems: Web Logic, Apache Tomcat, Web Sphere, PowerShell, Bash, JBoss, Windows, Linux. EXPERIENCE

Software Engineer Intern, Syracuse University – USA Jul 2024 – Present

• Designing scalable financial solutions with Next.js, Node.js, and Express.js, leveraging SSR, RESTful API routes, and microservices to process 30K+ financial transactions, data analysis, and refine system performance.

• Constructing state-driven UIs using React, Redux, Hooks, and Bootstrap, improving usability scores by 28% and elevating accessibility for financial management platforms.

• Improving Mongoose and NoSQL MongoDB operations, schema management, and reducing query time from 700ms to 400ms.

• Leading automated functional testing with Jest and React Testing Library, boosting reliability of financial application.

• Streamlining build and release with npm, Webpack, and Kubernetes for faster deployments in high-volume financial operations.

• Executing WebSocket and GraphQL for real-time communication and optimizing 2.5K+ monthly financial queries. Full Stack Software Engineer, Tech Mahindra Limited – India Apr 2018 – Jul 2022

• Collaborated with cross-functional teams across SDLC phases, from requirement analysis to system design, ensuring healthcare apps met data privacy compliance, securing 10M+ patient records while leading 15+ Agile / Scrum sprints and mentoring junior developers.

• Developed SPAs for healthcare portals leveraging Angular and TypeScript, applying front-end optimizations to achieve load times under 2 seconds, speed up record retrieval by 450ms, and enhance accessibility per WCAG.

• Led microservices development using Java and Spring (MVC, Boot, Cloud, Security, AOP), migrating monolith to microservices and integrating Kafka for decoupling, handling 500K+ daily requests and boosting scalability by 60%.

• Launched healthcare solutions on AWS with Terraform, orchestrating provisioning and saving manual effort by 4+ hrs per deployment.

• Implemented Test-Driven Development with Mockito and Selenium to enhance code quality, streamlined CI/CD pipelines with Maven, Jenkins, and Docker containerization, ensured reliable healthcare applications through rigorous code review.

• Orchestrated observability with AWS CloudWatch, Splunk, and Jaeger, enabling troubleshooting and reducing downtime by 20%. Java Developer, Mphasis – India Apr 2017 – Mar 2018

• Developed a responsive insurance web application harnessing React, HTML, CSS, JavaScript, JSP, and Bootstrap, accelerating load times and improving user engagement by 30%.

• Built Spring MVC application with transaction management, validation, and business logic, handling 50K+ daily API requests efficiently.

• Optimized backend with Java SE 8 and Multithreading, processing 2K+ claims per hour while maintaining sub-200ms latency.

• Refined database with JPA, Hibernate, and XML Schema, reducing query time by 40% and strengthening frontend data flow.

• Engineered a scalable Java-based app on AWS (EC2, Lambda), processing 1M+ transactions monthly with high availability.

• Spearheaded CI/CD pipeline with Jenkins and Git, automating testing and deployment to cut release cycles from 2 weeks to 4 days. PROJECT

AI-Powered Notion Clone Feb 2025 – Mar 2025

• Designed a real-time collaborative document editor using React (Next.js), TypeScript, Clerk (auth), Firebase, Liveblocks, Cloudflare, and Shadcn / UI for a synchronized multi-user experience.

• Engineered OpenAI API (GPT) integration to deliver AI-powered content generation, summarization, and contextual Q&A. Generative AI Storyteller App Dec 2024 – Jan 2025

• Created a full-stack AI storytelling app using LLMs for story generation and DALL·E for illustrations, orchestrated via gptscript.

• Implemented real-time streaming, prompt chaining, and Next.js caching for fast, scalable AI content delivery. E-commerce Shopping Mar 2024 – Jun 2024

• Pioneered RESTful APIs with Spring Boot for secure communication, enforcing Spring Security and managing data with MySQL.

• Crafted frontend with React, Tailwind CSS, and MUI for UI, using Redux for state management and JWT for authentication. Job Portal Jan 2024 – Feb 2024

• Sculpted a Python app on Django, integrating frontend and backend with MVT pattern, ORM, Django Templates, and Bootstrap.

• Architected scalable AWS infrastructure with EC2, Postgres, and S3 for hosting, database management, and content delivery. AI-based 2048 Game Sep 2023 – Dec 2023

• Programmed an AI agent for the 2048 game using Python and Expectimax algorithm, incorporating chance nodes and depth-limited search to improve win rate by 25%.

• Incorporated a CNN-based ML model using PyTorch to enhance state evaluation, enabling 27% deeper search. EDUCATION

Master of Science in Computer Science – Syracuse University, Syracuse, NY – GPA:3.8 Aug 2022 – May 2024 Bachelor of Engineering in Computer Engineering - University of Pune, India Aug 2013 – Jun 2017

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