Amitesh Vashishth's Resume
QA Automation Engineer - Jignect Technologies Pvt. Ltd
I developed and maintained automated test scripts to ensure software quality and faster delivery. My role involved creating test frameworks, integrating with CI/CD pipelines, and identifying defects early in development. I worked closely with developers and QA teams to improve test coverage, reliability, and overall product quality.
π― Performed functional and automation testing for AgilityInsights (formerly AgilityHealth). π― Automated 10% of UI regression cases with Selenium (C#), improving test cycles. π― Built Azure-integrated utility to re-run failed tests, reducing manual effort by 40%. π― Developed browser tools using Tampermonkey & bookmarklets for faster testing.
RPA Developer - ABEX(Adani Business Excellence)
I design and build automation solutions using tools like Automation Anywhere and UiPath. My work helps reduce manual effort, improve efficiency, and streamline business processes. I collaborate with business teams to identify automation opportunities and deliver scalable bots that save time and costs.
π― Built and maintained RPA bots using Automation Anywhere for automating financial reporting, SAP transactions, and reconciliation. π― Consolidated five HRSSC tasks into a unified bot, reducing execution time by 40%. π― Redeveloped legacy bots (e.g., 194Q TDS, BRS Clearing), improving performance by 70%. π― Optimized redundant processes, increasing throughput and efficiency.
Automation Exercise UI & API Automation
π― Developed a scalable automation framework for UI and API testing using Selenium WebDriver, TestNG, and REST Assured. π― Implemented reusable framework architecture with DTOs, Data Factory pattern, helper utilities, centralized configuration, and modular test design. π― Automated cross-browser and headless execution with parallel test support for Chrome and Firefox. π― Integrated Extent Reports and Allure Reports with screenshot capture, failure logging, and CI-based report publishing. π― Configured GitHub Actions and GitLab CI/CD pipelines for automated execution, artifact publishing, and GitHub Pages report hosting. π― Implemented retry mechanisms, logging optimization, Docker-based execution, and CI stability improvements for reliable automated testing.
Petstore API Automation Framework
π― Designed reusable API automation framework using Java, REST Assured, TestNG, and Maven. π― Implemented DTO-based request/response handling with Jackson serialization. π― Added retry listeners, soft assertions, dynamic environment configuration, and Allure reporting. π― Built reusable DataFactory utilities for scalable test data generation. π― Integrated automated test execution into CI/CD pipelines using Azure DevOps. π― Implemented modular request specifications and reusable validation utilities.
Business Outcomes
π― AI Response Verification: Boosted AI response reliability by 20% by formulating a specialized validation methodology for benchmarking LLM outputs against delivery data. π― Complex Matrix Testing: Performed automated and exploratory validation for predictive ROI and alignment scoring modules across complex role-based workflows. π― Excel-Based Reconciliation: Designed custom Excel data calculation matrices to serve as the ground truth source, executing cell-by-cell data validation against the system's automated database outputs. π― Deep Submodule Auditing: Owned end-to-end exploratory and functional testing of downstream impact modules, identifying critical edge-case logic defects before production releases. π― High-Fidelity Reporting: Generated detailed matrix reports and analytical defect data to collaborate with product managers, directly resulting in a 20% increase in AI response reliability.
Agility Insights (Agility Health)
π― Framework Architecture: Designed and scaled a robust test automation framework using C#/.NET/MSTest to validate data pipeline accuracy for the Agility Insights platform. π― Metrics Validation: Automated the end-to-end verification of complex Agile delivery metrics, ensuring 100% data integrity for sprint velocity, cycle times, and throughput dashboards. π― CI/CD Optimization: Integrated automated functional and regression test suites into the deployment pipeline, shortening feedback loops on platform updates from hours to under 15 minutes. π― Data-Driven Verification: Implemented data-driven testing models to validate diverse data schemas and high-throughput telemetry data feeding into the insights engine. π― API Testing Automation: Developed comprehensive automated API test suites to validate REST endpoints, securing smooth data ingestion from external tools like Azure DevOps and Ideaboard into Agility Insights. π― Flakiness Elimination: Reduced test script maintenance and false positives by 35% by establishing modular, reusable locator strategies and dynamic waits.
Master of Computer Applications - L.D College of Engineering , Ahmedabad
Focused on advanced software development, system design, and automation technologies. Built strong expertise in programming, databases, and testing methodologies.
Bachelor of Computer Applications - Mohanlal Sukhadia University, Udaipur
Studied core computer science concepts including programming, data structures, and web development. Gained practical experience through academic projects.
H.G International School
Completed senior secondary education with commerce as a stream. Developed analytical and business fundamentals that helped shape problem-solving and logical thinking skills.