Jan 2024 – Present · 2 yrs 5 mos · Mumbai, Maharashtra, India · On-site

• In the dynamic world of software development, ensuring reliability and efficiency is paramount. RATL.ai revolutionizes your development process by integrating intelligent automation, comprehensive testing, and continuous monitoring. Our platform ensures that your software meets and exceeds industry standards for performance, security, and user satisfaction.
• What is RATL.ai? 🛠️
• RATL.ai is an advanced reliability platform that optimizes every aspect of the software development lifecycle. From code generation to deployment, our intelligent agents work seamlessly to ensure efficiency, reliability, and scalability. With RATL.ai, you get a centralized dashboard for real-time monitoring and reporting, giving you complete control over your projects.
• How RATL.ai Agents Assist in Daily Work 🤖
• 1. Inga:
• Focus: Quality Assurance
• Daily Work: Runs unit tests, integration tests, and regression tests to ensure new features do not break existing functionality.
• 2. Spar:
• Focus: Code Generation and Test Automation
• Daily Work: Generates code and sets up the infrastructure for automated testing.
• 3. Connie:
• Focus: Continuous Integration and Deployment
• Daily Work: Automates the build process, compiles code, and generates build artifacts.
• 4. Chase:
• Focus: Performance and Reliability Testing
• Daily Work: Conducts load and performance tests, simulates high traffic scenarios, and evaluates overall performance.
• 5. Casey:
• Focus: Security and Compliance
• Daily Work: Conducts security analysis to detect vulnerabilities and ensures compliance with industry standards.
• 6. Mona:
• Focus: Post-Deployment Monitoring and Analytics
• Daily Work: Monitors app performance and stability, tracks key performance metrics, and analyzes usage data.
• Why Choose RATL.ai?🌟
• 1. Enhanced Efficiency
• 2. Uncompromising Quality
• 3. Superior Reliability
• 4. Robust Security
• 5. In-Depth User Insights

Jun 2021 – Jan 2022 · 7 mos · Hyderabad, Telangana, India

• + Azure Cloud and AI
• + Part of a team that's creating a direct-to-consumer platform that will deliver new fan engagement experiences and enhanced streaming capabilities powered by Microsoft Azure and its AI capabilities.
• + Responsible for ensuring the quality of the application by ensuring automation and framework enhancements for the programmatic running of Azure PAAS integrations (Cosmos, eventhubs, eventgrid, service bus, ADX, Function app, Azure web app)
• + Architecting the in-house test automation framework design

Feb 2021 – Jun 2021 · 4 mos · Bengaluru, Karnataka, India

• + Part of Initial Quality Assurance Team of JioMart ecommerce application.
• + Responsible for developing Bots(wrapper apis) with Spring boot and http client that automated apis involving end to end B2C orders to serve the model of Software Testing as a Service (STAAS). Integrated the framework with mysql for storing test data, influx for storing custom metrics and Grafana to visualise the metrics of incoming orders.
• + Responsible for building Automation framework with Gatling and Maven to simulate load on high traffic endpoints to simulate Load Testing. Dockerised the project to seamlessly deploy and test across all servers.
• + Created and setup service virtualization (Mock apis) with specmatic tool to mock external api responses.
• + Responsible for containerizing all the test automation projects with Docker to deploy them seamlessly across any environment.

May 2019 – Feb 2021 · 1 yr 9 mos · Pune, Maharashtra, India

• + Responsible for testing stories involving Statistical Calculations, Data seeding, Grid and Visual Analytics interface from functional perspective. Also, data validations through database testing and Backend validation for API requests and responses.
• + Scrutinizing logs for every microservice and pods related to process triggered in a container orchestrated system.
• + Ensuring maintenance and rpm updates of microservices for steady build to maintain CICD approach through Jenkins or Linux terminal
• + Responsible for Creating, Administering Kubernetes cluster and troubleshooting for pods, deployments, services, persistent volumes, rolling updates, nodes, etc.
• + Responsible for writing automation codes for API (groovy) as well as UI (selenium) for the features and stories in sprint to ensure CI-CD devops model approach.
• + Maintaining clean BVT and sanity API automation reports by regularly updating code against test case failures to ensure agile approach
• + Single handedly responsible for classic product version release ensuring customer reported defect fixes and thorough regression testing in order to assure quality
• + Managing UI automation team by Project planning through JIRA, creating stories and test cases related to sanity. Also involved in code validation from functional point of view.
• Involved in regular interactions with product management and stakeholders
• + Responsible for performance testing and preparing comparison insight reports.
• + Involved in preparing Test case Documentation and reports

May 2017 – May 2019 · 2 yrs

• + Reviewed Business Requirements and accordingly Prepared Test Plans and Scripts
• + Identified and reported defects through Smoke Testing, Continuous Regression testing and Performance testing
• + Responsible for migrating in ALM (Application Lifecycle Management).
• + Developed Data Driven Automation framework using Page Object Design pattern
• + Identified Automation Scenarios from the set of Test cases and developed Web automation scripts using Selenium WebDriver and TestNG.
• + Developed a robust framework by integrating TestNG with Maven and implemented Listeners interface, Page Object pattern, Log4j and Excel Data Driven testing.

Jan 2017 – Apr 2017 · 3 mos

• + Started Career
• Professional Training in:
• + Python Fundamentals
• + RDBMS - Oracle, Mysql
• + Data Structures and Problem Solving
• + Core Java
• + JavaScript
• + HTML5
• + CSS
• + Springboot
• + Hibernate
• + Servlet
• + Automation Testing with Selenium, UFT and ALM-QC