John Pranoy Yalla

John Pranoy Yalla

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Full Stack Software Engineer | Java/Spring Boot, React/Angular, AI & RAG Systems | MS in Software Engineering, Kennesaw State University
Marietta, Georgia, United States

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Jobs verified_user 0% verified
  • Kennesaw State University CCSE College of Computing and Software Engineering
    Graduate Teaching Assistant
    Kennesaw State University CCSE College of Computing and Software Engineering
    Jan 2026 - Current (8 months)
    Python
  • Kennesaw State University CCSE College of Computing and Software Engineering
    Graduate Research Assistant
    Kennesaw State University CCSE College of Computing and Software Engineering
    Aug 2025 - Dec 2025 (5 months)
    Java | Mutation Testing | Maven
  • Evoke Technologies
    Technical Associate
    Evoke Technologies
    Apr 2021 - Jul 2024 (3 years 4 months)
    Built RESTful APIs and GraphQL endpoints in Java 11 and Spring Boot as part of a microservices setup, cutting average API response time by about 30% Set up async, event-driven workflows with Apache Kafka for service-to-service communication, which helped decouple the system and handle higher data throughput Added Redis caching for frequently accessed data, bringing response latency down by roughly 40% Broke apart a legacy monolith into independently deployable microservices on Docker/Red Hat OpenShift, which let us ship with zero downtime through Jenkins CI/CD Implemented OAuth 2.0 and JWT auth with role-based access control via Spring Security to meet enterprise compliance requirements Built an Angular 14 SPA with a reusable comp
  • Capgemini
    Senior Software Engineer
    Capgemini
    May 2020 - Apr 2021 (1 year)
    Helped modernize legacy banking applications by migrating them to event-driven microservices using Java 8, Spring Boot, and Kafka for real-time transaction processing Built and maintained backend services with Spring MVC, Spring Data JPA, and Hibernate against Oracle and PostgreSQL for financial systems where uptime mattered a lot Deployed to AWS (EC2, S3, RDS) and automated a lot of the infrastructure setup, which significantly cut down environment provisioning time
  • MUFG Union Bank NA
    Contractor
    MUFG Union Bank NA
    Oct 2019 - Apr 2021 (1 year 7 months)
    Helped modernize legacy banking applications by migrating them to event-driven microservices using Java 8, Spring Boot, and Kafka for real-time transaction processing Built and maintained backend services with Spring MVC, Spring Data JPA, and Hibernate against Oracle and PostgreSQL for financial systems where uptime mattered a lot Deployed to AWS (EC2, S3, RDS) and automated a lot of the infrastructure setup, which significantly cut down environment provisioning time
  • Capgemini
    Software Engineer
    Capgemini
    May 2019 - May 2020 (1 year 1 month)
    Helped modernize legacy banking applications by migrating them to event-driven microservices using Java 8, Spring Boot, and Kafka for real-time transaction processing Built and maintained backend services with Spring MVC, Spring Data JPA, and Hibernate against Oracle and PostgreSQL for financial systems where uptime mattered a lot Deployed to AWS (EC2, S3, RDS) and automated a lot of the infrastructure setup, which significantly cut down environment provisioning time
  • Capgemini
    Internship Trainee
    Capgemini
    Dec 2018 - Mar 2019 (4 months)
Education verified_user 0% verified
  • Kennesaw State University
    Kennesaw State University
    Kennesaw State University
    Jan 2024 - Jul 2026 (2 years 7 months)
  • Gokaraju Rangaraju Institute of Engineering and Technology
    Gokaraju Rangaraju Institute of Engineering and Technology
    Gokaraju Rangaraju Institute of Engineering and Technology
    Jan 2015 - Dec 2019 (5 years)
Publications verified_user 0% verified
  • A
    Understanding Retail Planograms through Virtual Reality-based Shopper Shelf Perception Analytics
    ACM VRST
    Dec 2025
    This study explores how virtual reality (VR) can be used to evaluate the impact of planogram design on shopper behavior in retail environments. We capture multi-channel sensor data and build in-VR visualizations (spatial heatmaps and shelf-level histograms) to support rapid analysis of shopper behavior and inform planogram designs. The results show that product placement significantly affects shopper interaction. This suggests that VR-based shelf perception analytics can support strategic planogram design, particularly for improving the visibility and reachability of high-priority items.
  • I
    RAG-Driven 3D Question Answering in Edge-Assisted Virtual Reality
    IEEE INFOCOM Workshop
    Sep 2025
    The rapid development of large language models (LLMs) has created new opportunities in 3D question answering (3D-QA) for virtual reality (VR). 3D-QA enhances user interaction by answering questions about virtual environments. However, performing 3D-QA in VR systems using LLM-based approaches is computation-intensive. Furthermore, general LLMs tend to generate inaccurate responses as they lack context-specific information in VR environments. To mitigate these limitations, we propose OfficeVR-QA, a 3D-QA framework for edge-assisted VR to alleviate the resource constraints of VR devices with the help of edge servers, demonstrated in a virtual office environment. To improve the accuracy of the generated answers, the edge server of OfficeVR-QA h