TEJA REDDY PALLE

UNITED STATES OF AMERICA. tejareddypalle123@gmail.com

I am a Quality Assurance professional with around 2 years of industry experience, having started my career as a QA Tester and progressing into a Software Development Engineer in Test (SDET). I have built a strong foundation working on enterprise platforms like Guidewire, which has given me solid exposure to the insurance domain and its complex business workflows. My experience includes end-to-end testing of UI and APIs using tools such as Selenium WebDriver and Postman, along with API validation through Swagger and backend verification using SQL. This combination has enabled me to ensure data integrity, system reliability, and seamless integration across distributed systems.

Through my work in domain-driven environments, I have developed a strong understanding of business-critical applications in both insurance and financial services. Currently, I contribute to projects for LPL Financial, where I apply my testing expertise in a highly regulated and data-sensitive ecosystem. This experience has strengthened my ability to validate complex transactions, ensure compliance-driven quality standards, and deliver reliable automation solutions in enterprise-scale applications.

Over time, I transitioned into automation-focused responsibilities, working extensively with Selenium WebDriver (Java) to design and maintain scalable test frameworks. In my current role as an SDET, I leverage both Selenium (Java) and Playwright (TypeScript) to build modern, high-performance automation solutions. I also incorporate AI-driven testing approaches to optimize test coverage, improve execution efficiency, and enable smarter automation workflows. This progression reflects my growth from a QA foundation into a development-oriented automation engineer focused on building scalable, reliable, and future-ready test solutions.

Education

Southeast Missouri State University

Master of Science in Computer Science
    • Specialized in automation testing concepts, including framework design, test optimization, and scalable quality engineering practices
    • Applied academic knowledge to build and enhance automation solutions using UI and API testing approaches, strengthening skills in Selenium, Playwright, and test architecture

    Skillset

    Java | TypeScript | SQL | Automation Testing | UI Testing | API Testing | Selenium | Playwright | Test Frameworks | System Design | REST APIs | Database Validation | Agile | 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

SDET

Capgemini America Inc (Client: LPL Financial), Texas, United States
  • Working as a Software Development Engineer in Test (SDET) at Capgemini, supporting client LPL Financial in delivering high-quality financial applications
  • Designing and developing UI automation frameworks using Playwright (TypeScript) and maintaining existing frameworks with Selenium WebDriver (Java)
  • Automating end-to-end test scenarios for ClientWorks platform and its associated applications, ensuring reliability of business-critical workflows
  • Leveraging Playwright features such as parallel execution, auto-wait mechanisms, and cross-browser testing to improve execution speed and stability
  • Performing API testing and validation to ensure seamless integration between frontend and backend systems
  • Implementing AI-driven testing approaches to enhance test coverage, optimize execution, and reduce maintenance overhead
  • Collaborating within Agile/Scrum teams to support continuous integration, faster releases, and improved software quality
  • Identifying defects early through automation and contributing to improved regression coverage and reduced manual testing efforts
March 2026 - 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

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 & Languages
  • Java
  • TypeScript
  • SQL
  • JavaScript
Automation Testing
  • Selenium WebDriver (Java)
  • Playwright (TypeScript)
  • TestNG
  • Cucumber (BDD)
  • Page Object Model (POM)
  • Hybrid Framework
  • Data-Driven Testing
  • Cross-Browser Testing
  • Parallel Execution
API & Integration Testing
  • REST API Testing
  • Postman
  • Swagger
  • API Automation (Java)
  • Kafka Payload Validation
Database Testing
  • SQL Queries
  • Data Validation
  • Backend Testing
QA Tools & Platforms
  • Guidewire (PolicyCenter)
  • ClientWorks Platform
  • JIRA
  • Confluence
  • qTest
AI in Testing
  • AI-driven Test Automation
  • Intelligent Test Case Generation
  • Test Optimization using AI Agents
DevOps & Practices
  • Git
  • Jenkins
  • Maven
  • CI/CD Pipelines
  • Agile / Scrum

Achievements & Certifications

Interests

  • Designing and enhancing scalable test automation frameworks using Selenium (Java) and Playwright (TypeScript), with a focus on maintainability, reusability, and efficient test architecture.
  • Advancing UI and API automation testing by integrating end-to-end validation, API testing, and backend data verification to ensure system reliability.
  • Exploring AI-driven automation testing using intelligent agents to improve test coverage, test generation, and automation efficiency.
  • Leveraging modern tools like Playwright for cross-browser testing, parallel execution, and high-performance automation in enterprise applications.
  • Strengthening expertise in event-driven systems through Kafka payload validation and ensuring data consistency across distributed systems.
  • Enhancing quality engineering practices by integrating automation testing into CI/CD pipelines for faster and reliable releases.
  • Gaining deeper understanding of financial and insurance domain applications, focusing on data integrity, transaction validation, and compliance-driven testing.
  • Continuous learning through hands-on experimentation with modern testing tools, automation frameworks, and AI-based testing strategies.