TEJA REDDY PALLE

UNITED STATES OF AMERICA. tejareddypalle123@gmail.com

I am a Java Full Stack Developer and QA Automation professional with over 4+ years of experience in IT services and consulting, delivering scalable, secure, and enterprise-grade software solutions. My core expertise lies in designing and developing cloud-native applications using Java, Spring Boot, React.js, and microservices architecture, with a strong focus on performance, reliability, and maintainability. I have extensive experience building RESTful APIs, modernizing legacy systems, and developing responsive user interfaces that support high-volume, business-critical applications.

Alongside full-stack development, I bring a strong background in QA automation and quality engineering, enabling me to ensure end-to-end system stability and high software quality. I have hands-on experience with automated testing using JUnit and SoapUI, API testing with Postman and Swagger, and defect management using JIRA, qTest, and Confluence. My work includes validating complex business workflows, managing UAT and production environments, and embedding automated tests into CI/CD pipelines to accelerate delivery while maintaining compliance and audit readiness.

I am highly experienced in Agile and Scrum methodologies and have actively contributed across the full software development lifecycle (SDLC)—from requirements analysis and design to deployment and post-production support. I have implemented and maintained CI/CD pipelines using Jenkins, Maven, Gradle, GitHub Actions, and GitOps practices, deploying applications on AWS and Linux environments. My cloud expertise includes AWS EC2, Lambda, S3, IAM, and messaging services, enabling scalable, resilient, and highly available system architectures.

In addition, I have hands-on experience integrating Generative AI and Large Language Models (LLMs) into enterprise workflows to automate document processing, compliance checks, intelligent search, and knowledge extraction. I have built AI-driven pipelines using OpenAI APIs, LangChain, LlamaIndex, and vector databases, significantly improving operational efficiency and reducing manual effort in data-intensive processes.

Overall, I bring a unique combination of full-stack engineering, QA automation, cloud engineering, and AI integration, enabling me to deliver high-quality, production-ready solutions that balance speed, scalability, and reliability. I am passionate about building robust systems, advancing automation, and continuously learning emerging technologies to create meaningful, real-world impact through software.

Education

Southeast Missouri State University

Master of Science in Computer Science
    • Built Java modules to automate academic workflow validations, integrated backend logic using SQL, and enhanced API communication handling.
    • Implemented reusable validation functions and helper classes to increase efficiency across test and functional modules.

    Skillset: Java, OOP, SQL, REST APIs, Git

GPA: 3.90 / 4.00

August 2023 – May 2025

Vignana Bharathi Institute of Technology

Bachelor of Engineering in Electronics and Communication
  • Major Project: Dual-Band Microstrip Patch Antenna using Ansys HFSS
  • Internship Project at ISB: KisanMate – Smart Rover for Pesticide Spraying (with TASK & ISB)

GPA: 2.78 / 4.00

August 2017 – July 2021

Experience

Java Full Stack Developer

Doordash,Remote, United States
  • Worked on building and maintaining cloud-native systems by designing CI/CD pipelines using Jenkins, Maven, Gradle, and GitHub Actions for Java microservices deployed on AWS EC2 and AWS Lambda, improving backend reliability by 25% through automated deployments and performance tuning.
  • Designed and integrated RESTful APIs and microservices using Spring Boot, Spring Security, and Dagger Dependency Injection, while embedding Generative AI and LLM solutions such as GPT-4, Claude, and LlamaIndex to automate document processing, KYC verification, and compliance workflows.
  • Built and enhanced full-stack analytics platforms using Java (8/11/17), Spring Boot, and React.js, and led the modernization of legacy UIs by migrating from AngularJS to React and Redux, resulting in improved responsiveness, maintainability, and a 15% reduction in support resolution time.
  • Engineered Python-based AI and data pipelines using LangChain, OpenAI API, and Pinecone to enable intelligent search, document retrieval, and knowledge base creation from large-scale operational and compliance datasets.
  • Strengthened application quality by implementing automated unit and integration testing using JUnit and SoapUI, embedding test execution into CI/CD pipelines and improving QA efficiency by 40% for critical order reconciliation and payment processing modules.
  • Actively supported UAT and managed production environments on Linux and AWS, ensuring stable releases, rapid issue resolution, and continuous system availability.
  • Led cloud-native integrations using Informatica Cloud, Azure DevOps, and GitOps workflows, deploying Java, Node.js, and Spring Boot microservices while building operational and audit dashboards to improve governance, visibility, and audit readiness.
January 2025 - Present

Senior Software Engineer – Senior Software Engineer (QA Automation)

Capgemini (Client: USAA), Hyderabad, India
  • Gained strong domain expertise across the entire insurance policy lifecycle, validating policy issuance, policy changes, endorsements, renewals, out-of-sequence (OOS) transactions, and cancellations within Guidewire PolicyCenter, ensuring accurate business processing and regulatory compliance.
  • Performed in-depth validation of insurance rating concepts, including coverage calculations, premium computation, rating factors, discounts, surcharges, and underwriting rules, verifying consistency between Guidewire rating engine outputs and downstream systems.
  • Executed extensive API testing using Postman and Swagger, creating reusable test collections for REST and SOAP services. Validated request/response contracts, business rules, and error handling across policy, billing, and claims integrations.
  • Validated event-driven architectures by verifying Kafka message flows, including producer and consumer payloads, topic subscriptions, event schemas, and data consistency across distributed systems for real-time policy transactions.
  • Actively participated in Agile and Scrum ceremonies, including sprint planning, daily standups, backlog grooming, and retrospectives, contributing to improved delivery predictability, cross-team collaboration, and continuous delivery.
  • Coordinated and supported User Acceptance Testing (UAT) by facilitating defect triage meetings, preparing release readiness reports, delivering live system demonstrations to business stakeholders, and managing acceptance sign-offs across multiple release cycles.
  • Created and maintained comprehensive test artifacts, including test scenarios, detailed test cases, execution results, and traceability matrices using qTest, JIRA, and Confluence. Logged and tracked 350+ defects with 92% accuracy, improving risk visibility, audit readiness, and overall software quality.
  • Mentored junior QA engineers by guiding them through policy domain concepts, Guidewire workflows, API testing strategies, and Kafka validation. Optimized regression test suites, reducing execution time by 20%, and earned recognition as a Top Performer for delivering consistent, defect-free releases.
September 2021 - July 2023

KPIT, Hyderabad, India

Java Developer
  • Worked on building and enhancing scalable RESTful APIs and SOA-based PBM systems using Java, Spring MVC, Hibernate, JSP, and SQL. Integrated B2B and B2C platforms, resolving over 95% of P0/P1 production incidents and reducing overall system downtime by 40%.
  • Designed and implemented a modular microservices architecture with asynchronous messaging using AWS SNS, SQS, and EC2, enabling real-time system synchronization, high availability, and enterprise-wide data interoperability.
  • Conducted comprehensive performance and load testing using Apache JMeter and SoapUI, identifying backend bottlenecks and optimizing business logic, database queries, and service orchestration, which improved system throughput and robustness by 35%.
  • Developed responsive and cross-platform user interfaces using React.js, Bootstrap, JavaScript, and AJAX, integrating XML and JSON APIs to enhance usability, reduce page load times, and improve customer engagement tools.
  • Actively practiced Agile methodologies by participating in sprint planning, backlog grooming, and retrospectives using JIRA and Confluence, enabling effective collaboration across globally distributed development teams.
  • Applied DevOps and CI/CD principles using Jenkins, Git, GitLab CI, and Trello to automate testing, packaging, deployment, and release management of cloud-native microservices, ensuring reliable, scalable, and production-ready software delivery.
February 2020 - August 2021

Projects

Student Habit Analyzer

Technologies Used: HTML, CSS, JavaScript
  • Developed a basic web application using HTML, CSS, and JavaScript to help students manually log and track study sessions.
  • Designed a clean and minimalistic UI that allowed users to input subject name, start time, and duration of study.
  • Implemented form handling and basic input validation using JavaScript to ensure proper data entry.
  • Focused on building a responsive layout for smooth functionality across different screen sizes and devices.
  • Performed manual testing to identify and fix layout issues, broken inputs, and ensure cross-browser compatibility.
  • Tested the application across Chrome, Firefox, and Edge to verify stable and consistent behavior.
  • Improved core development skills in front-end programming and QA fundamentals through hands-on learning and debugging.
  • Shared the project on GitHub as a learning milestone, showcasing growth in self-initiated coding and practical application of basic web technologies.

Teja Menu

Technologies Used: HTML, CSS, JavaScript
  • Developed a dynamic and user-friendly web application that displays a digital menu, including detailed information such as dish names, calorie count, ingredients, staff details, and contact information.
  • Created a structured UI layout using HTML and CSS to visually organize menu categories, nutritional information, staff profiles, and communication details in a clean and readable format.
  • Implemented JavaScript-driven interactions to make the menu more engaging, including hover effects, collapsible sections, and dynamic rendering of menu items.
  • Designed the application to support real-time updates, allowing quick changes to menu items, pricing, or contact details without altering the core layout.
  • Added basic data validation and error-checking mechanisms to ensure consistent and accurate display of menu information.
  • Built a fully responsive design optimized for desktops, tablets, and mobile devices, ensuring a smooth browsing experience in cafeterias, restaurants, or student dining contexts.
  • Conducted manual QA testing to identify UI misalignment, inconsistent styling, broken links, and cross-browser discrepancies, resolving issues to achieve a stable user experience.
  • Verified compatibility across major browsers including Chrome, Firefox, and Edge to maintain consistent rendering of menu items and staff details.
  • Enhanced front-end coding proficiency through debugging, layout tuning, and DOM manipulation exercises while building a practical real-world application.
  • Published the project on GitHub to demonstrate understanding of front-end development, responsive design principles, and interactive UI behavior.

Bandwidth Enhancement of Microstrip Patch Antenna

Technologies Used: Ansys HFSS
  • Designed and simulated a dual-band microstrip patch antenna using Ansys HFSS, applying slot-loaded techniques to achieve enhanced bandwidth performance.
  • Achieved dual resonant frequencies at 3.48 GHz and 5.25 GHz, making the antenna suitable for WLAN, WiMAX, and automotive radar applications.
  • Conducted detailed electromagnetic analysis including S11 (return loss), VSWR, and radiation patterns to evaluate and optimize antenna efficiency.
  • Generated and analyzed 3D radiation plots to visualize lobe directions and gain characteristics for both frequency bands.
  • Performed iterative simulation tuning to refine parameters such as substrate thickness, slot dimensions, and patch size.
  • Collaborated with faculty mentors on academic RF research, applying theoretical knowledge in practical simulation-driven design.
  • Documented the entire design process, simulation results, and conclusions in a formal project report for academic evaluation.
  • Gained hands-on experience with HFSS simulation environment, RF design principles, and antenna parameter optimization techniques.

Skills

Programming & Markup Languages & Tools
  • Core Java
  • Java 8/11/17
  • SQL (MySQL, SQL Server, Oracle)
  • OOP
  • GO
  • Python
Methodology
  • SDLC
  • Agile
  • Waterfall
Frameworks/Libraries
  • Spring MVC
  • Hibernate
  • React.js
  • Microservices
  • spring boot
  • Spring Security
  • Node.js
  • Angular.js
IDE's
  • NetBeans
  • IntelliJ IDEA
  • Eclipse
  • Visual Studio Code
J2EE Technologies
  • Servlets
  • JSP
  • JavaBeans
  • JDBC
QA & Testing Tools
  • Guidewire PolicyCenter
  • Postman
  • Swagger
  • qTest
  • JIRA
  • Confluence
  • Test Case Management
  • Defect Tracking
  • Regression Testing
Automation & API Testing
  • API Testing
  • REST Web Services
  • SOAP Web Services
  • Kafka Event Validation
  • Reusable Test Collections
  • Test Automation Optimization
Generative AI
  • OpenAI GPT
  • Generative AI
  • LLM
  • OpenAI API
  • Hugging Face Transformers
  • Anthropic API
  • LlamaIndex
  • LangChain
AWS Services
  • Amazon EC2
  • AWS Lambda
  • Amazon S3
  • Amazon Redshift
  • IAM
  • Amazon SageMaker
Web Technologies
  • HTML
  • CSS
  • JavaScript
  • TypeScript
  • Bootstrap
  • jQuery
  • AJAX
  • JSON
  • XML
Application Server
  • Apache Tomcat
  • AWS
  • Azure
AWS Technologies:
  • EC2
  • S3
  • Lambda
  • Step Functions
  • SNS
  • SQS
  • CDK
  • CloudFormation
  • CloudWatch
Database
  • MySQL
  • DynamoDB
  • PostgreSQL
  • SQL Server Express
  • Cassandra
Build /Other tools
  • UML
  • MS Visio
  • Maven
  • Gradle
  • JUnit
  • Jenkins
Version Control Tools
  • Git
  • GitHub
  • Jira
  • Trello
Operating Systems
  • Windows
  • Linux
  • macOS

Achievements & Certifications

Interests

  • Designing and developing scalable full-stack applications using Java, Spring Boot, and React.js, with a strong emphasis on clean architecture, modular design, and long-term maintainability.
  • Building and experimenting with cloud-native architectures on AWS, including microservices, serverless computing, and event-driven systems that support scalability, resilience, and high availability.
  • Advancing QA automation and quality engineering by embedding automated testing, API validation, and regression strategies into CI/CD pipelines to improve release confidence and software reliability.
  • Exploring real-world applications of Generative AI and Large Language Models (LLMs) to build intelligent solutions for document processing, compliance automation, intelligent search, and knowledge extraction.
  • Improving software delivery workflows through DevOps, continuous integration, continuous deployment, and GitOps practices, with a focus on automation, observability, and repeatable deployments.
  • Modernizing and refactoring legacy systems by migrating monolithic applications to microservices architectures, upgrading front-end frameworks, and optimizing performance, security, and scalability.
  • Deepening understanding of distributed systems, asynchronous messaging, and event streaming to build reliable systems that handle high-volume, real-time data processing.
  • Continuous learning through hands-on experimentation, technical documentation, and exploring best practices in software architecture, cloud engineering, and AI-driven automation.