Riyaz Patel

Skills

• Functional Testing: Unit testing, Integration testing, System test, module testing, Pilot and UAT testing.
• Performance Testing: JMeter, Load Runner
• Bug Tracking Tools: JIRA, Bugzilla, Mantis, HP ALM
• Cloud & DevOps: AWS (EC2, S3, RDS, Cloud Watch), CI/CD Pipelines and Azure DevOps.
• Automation Tools: Selenium (Java, Java Script, Python), TestProject
• Database Testing: SQL, ETL, Data Migration
• Version Control & Build Tools: GIT, Jenkins, Bamboo, Azure.
• Collaboration Tools: Confluence, Wiki, Microsoft Office Suite
• Programming Languages: Java, Python, Java script, HTML, CSS

About

This is Riyaz Ahmed Patel from Mumbai - India. I have recently moved to UAE-Dubai on a visit visa and am actively looking for a change in all over GCC.

I am a Certified Software Test Engineer with over 12+ years of experience in software testing across domains such as BFSI, Aviation, E-Governance, Social Media, and ERP. I bring a deep understanding of end-to-end quality assurance processes, system integration testing, and automation.

Throughout my career, I have successfully contributed to multiple large-scale implementations involving complex integrations, regulatory compliance, and data-sensitive environments. I have hands-on experience in functional, regression, integration, and user acceptance testing using both manual and automation approaches. I am handling 2 projects having remote locations team members for a couple of years with the objective of following detailed testing strategies and end to end testing governance. My background in the BFSI sector has particularly strengthened my ability to work within stringent security, stability and compliance standards.

Currently, I am focusing on incorporating Artificial Intelligence (AI) techniques into testing activities—leveraging predictive analytics for defect detection, utilizing AI-driven test case prioritization, and exploring intelligent test data generation to improve coverage and reduce cycle time using co-pilot. This adoption of AI in my day-to-day work has not only improved efficiency but also provided valuable insights into risk-based testing and quality forecasting.