ISTQB CT AI Lab
Interactive learning lab for ISTQB CT-AI exam preparation. Mind maps, definitions, mock exams, and AI tools — all in one place.
Deepthi Rao
Test Lead
Test Lead
Leading Quality, Accelerating Delivery, Enabling Confidence
I am a results-driven Test Lead with experience in delivering high-quality software across domains such as e-commerce, insurance, and enterprise SaaS platforms. I specialize in defining test strategies, leading QA teams, and ensuring robust validation across complex, distributed systems. With a strong foundation in manual testing, I have hands-on experience in UI, API, and data validation testing using tools such as Postman, SoapUI, TestRigor, Mabl, Fireflink. I have worked extensively on Salesforce Commerce Cloud,Oracle Transport Management Cloud, order management systems, and cloud-based applications, ensuring end-to-end quality across critical business workflows. I have led teams of 5–8 QA engineers, providing technical guidance, mentoring, and fostering a culture of continuous improvement. My approach focuses on early defect detection, scalable automation, and seamless integration with CI/CD pipelines to accelerate release cycles without compromising quality. I am also actively exploring AI-driven testing approaches, leveraging modern tools to enhance test efficiency, coverage, and reliability. I thrive in cross-functional and globally distributed teams, collaborating closely with developers, product owners, and stakeholders to deliver reliable, scalable, and customer-centric solutions.
QA Mentor Inc.
Sapiens Technologies
Enate Technologies
Aurigo Technologies
Epsilon India
M S Ramaiah Institute of Technology
التركيز: Computer Science
المقررات
الأطروحة / مشروع التخرج
Vehicle Monitoring System
A vehicle monitoring system leverages RFID technology to track and secure vehicles in real time. Each vehicle is equipped with an RFID tag containing essential details such as owner contact information, insurance, and hypothecation data. RFID detectors installed at traffic signal points capture and log vehicle movement as they pass, creating a continuous location trail. In case of theft, the system can quickly identify the vehicle’s last known locations, notify the owner, and automatically alert law enforcement authorities. This enables faster recovery, improves security, and provides a centralized database for tracking and verification across regions.