Software Engineer United States

KEDARNATH RAVI SHANKAR GUBBI

*******************@*****.*** https://www.linkedin.com/in/kedarnath-gubbi/ +1-850-***-**** https://github.com/kedarnath1999

SUMMARY

Results-driven Computer Science graduate with 3+ years of experience in full-stack development, mobile apps, and backend systems. Capable of building scalable applications using React, Spring Boot, Node, .NET and cloud technologies.

EDUCATION

Florida State University, United States MS in Computer Science Aug 2023 - May 2025

Courses: Computer Architecture, Advanceed Database Systems, Computer Networks (GPA: 3.97)

SKILLS:

Programming Languages: Java, C#, Python, JavaScript, TypeScript

Frontend: ReactJS, React Native, HTML, CSS, SASS/SCSS, Bootstrap, TailwindCSS

Backend: Spring Boot, .NET, Node.js, JPA, REST APIs, Linux

Cloud & DevOps: Docker, Kubernetes, AWS (Lambda, S3, EC2, EKS), Azure, Google Cloud

Databases: MySQL, PostgreSQL, MongoDB, DynamoDB, Firebase

Tools: Git, JIRA, Kafka, Grafana, Prometheus

PROFESSIONAL EXPERIENCE:

Volunteer Software Engineer

One Community (Open Source Software), Los Angeles, United States Jun 2025 – Present

Engineered reusable and testable React components using Redux, reducing code duplication by 40% and improving maintainability.

Diagnosed and resolved 15+ production-level issues on GitHub, boosting rendering performance by optimizing React lifecycle hooks.

Collaborated across global engineering teams through GitHub PRs, design discussions, and sprint planning using Agile methodologies.

Teaching Assistant

Florida State University, Tallahassee, United States Jan 2024 – May 2025

Helped students debug frontend and backend applications, including Java-based web projects, improving their understanding of web architecture, REST APIs, and client-server interaction.

Led lab sessions where students built small full-stack projects, enhancing their practical skills in Java, Spring Boot, and modern frontend frameworks.

Mentored 40+ students in debugging and problem solving; led code review workshops and built supplementary materials.

Graded assignments and provided individualized feedback, resulting in a 20% improvement in average student project quality.

Held office hours, supporting students with algorithms, data structures, and full-stack concepts.

Software Engineer Intern

Arora Innoventions,, Alpharetta, United States Jun 2024 – Jul 2024

Developed a dating application using React Native CLI, enhancing user engagement and experience.

Implemented real-time chat functionality using Firebase, facilitating seamless communication.

Designed and integrated event-based matching features, allowing users to express interest in events and connect with like-minded individuals.

Member Technical Staff

NEC Corporation of India, Bangalore, India Aug 2021- Jul 2023

Designed and delivered an EdTech platform using React (frontend), Java Spring and C# .NET (backend), increasing student engagement by 30% and assessment accuracy by 20%. Managed 1M+ records with MySQL and deployed scalable microservices using Docker and Kubernetes on Linux servers.

Eliminated 30% of missed test result notifications by implementing a Kafka-based messaging system between assessment and notification services.

Built responsive, performant React UIs with reusable components and custom hooks, improving rendering efficiency by 25% via lazy loading and optimizing asynchronous API calls.

Authored and standardized RESTful API documentation using Springdoc Swagger, streamlining frontend-backend integration and reducing onboarding time for new engineers.

Secured user authentication by integrating an Auth Server with API Gateway, reducing unauthorized access incidents by 35% and enhancing trust.

Developed and optimized LLM integration workflows using prompt engineering and fine-tuning techniques, implementing RAG (Retrieval-Augmented Generation) architecture that improved response accuracy by 35% and reduced API costs by 20% through efficient token management.

SDET Intern

Cognizant India, Bangalore, India Mar 2021- Aug 2021

●Automated 80% of test cases using Selenium WebDriver, reducing manual testing efforts by 50%.

●Collaborated with development teams to increase test coverage from 70% to 95%, ensuring robust product quality.

●Identified and resolved critical performance bottlenecks, leading to a 30% improvement in application stability and a 20% increase in end-user satisfaction.

RESEARCH PUBLICATIONS LINK

Gubbi, K. R., et al. "A Real-Time Quantum-Conscious Multimodal Option Mining Framework Using Deep Learning," IAES Int. J. of AI, Vol. 11, No. 3, pp. 1019, 2022.

PROJECTS:

Taste your home App React native, expo, CSS, Supabase, JS, tailwind, SQL Github

Spearheaded the development of "Taste Your Home," a cutting-edge mobile application that connects home cooks with individuals seeking authentic local cuisine, enhancing cultural exchange and culinary diversity.

Sketching-based Classification over Data Streams Github

Implemented a streaming logistic regression system in Java based on Weight-Median Sketch (WM-Sketch) and Active-Set Weight-Median Sketch (AWM-Sketch) algorithms for compressive learning under memory constraints, inspired by the SIGMOD 2018 paper.

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