Abhishek Kasarla

QA Engineer

https://www.opentalent.in/abhishek-kasarla

Hyderābād, Telangana, IndiaMember since May 17, 2026

Key Strengths

4+ years of experience in QA Manual & Automation testing, aligning well with the target QA Engineer role.
Proficient in various testing types including Functional, Regression, Acceptance Testing, Test Planning, Test Strategy, Test Design, Test Execution, and Defect Tracking.
Experience with Selenium automation using Data-driven and TESTNG frameworks.
Knowledge of API automation using RestAssured and Postman.
Domain experience in banking and Mainframe applications.
Strong performance in the AWS/Terraform assessment, indicating potential for infrastructure-related QA or DevOps tasks.
Familiarity with Agile methodologies and CI/CD practices.

Skill Analysis

Java & Selenium QA Development

★★★★★

10%

The candidate scored very low (10%) on this assessment, indicating significant gaps in fundamental knowledge and practical application of Java and Selenium for QA development, including unit testing.

manual testingJava 17qatestingSeleniumjavaUnit-TestingAutomation Testing

Limitations

Fundamental understanding of Java and Selenium for QA development appears to be very limited.
Inability to apply core Java and Selenium concepts to practical QA scenarios.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 60.6% suggests a moderate fit in terms of work attitude and collaboration. The candidate's experience in Agile environments and participation in team meetings (Scrum calls, daily stand-ups) indicates an understanding of collaborative work culture. The diverse project experience (Mainframe, Web, API, banking domain) suggests adaptability.

Soft Skills & Operational Fit

Based on the psychometric test score (60.6%), the candidate shows moderate aptitude in logical reasoning, work attitude, stress handling, and team collaboration. The resume indicates experience in Agile environments, daily stand-ups, and defect calls, suggesting familiarity with operational workflows.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

4+ years of experience in QA Manual & Automation testing, aligning well with the target QA Engineer role.
Proficient in various testing types including Functional, Regression, Acceptance Testing, Test Planning, Test Strategy, Test Design, Test Execution, and Defect Tracking.
Experience with Selenium automation using Data-driven and TESTNG frameworks.
Knowledge of API automation using RestAssured and Postman.
Domain experience in banking and Mainframe applications.
Strong performance in the AWS/Terraform assessment, indicating potential for infrastructure-related QA or DevOps tasks.
Familiarity with Agile methodologies and CI/CD practices.

Skill Analysis

Java & Selenium QA Development

★★★★★

10%

The candidate scored very low (10%) on this assessment, indicating significant gaps in fundamental knowledge and practical application of Java and Selenium for QA development, including unit testing.

manual testingJava 17qatestingSeleniumjavaUnit-TestingAutomation Testing

Limitations

Fundamental understanding of Java and Selenium for QA development appears to be very limited.
Inability to apply core Java and Selenium concepts to practical QA scenarios.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

QA Testing Fundamentals & Automation

★★★★★

33%

A score of 33% indicates a foundational understanding of QA testing but significant weaknesses in applying these concepts, particularly in automation and unit testing for complex scenarios like MFA.

testingmanual testingUnit-TestingqaAutomation TestingMFA Testing

Strengths

Demonstrated some basic understanding of general QA testing concepts.

Limitations

Limited proficiency in applying QA testing principles, especially in the context of multi-factor authentication test automation.
Significant gaps in understanding and implementing unit testing.
Overall performance suggests a need for substantial improvement in core QA automation skills.

AWS Infrastructure with Terraform

★★★★★

88%

An excellent score of 88% reflects strong proficiency in using Terraform to create and manage AWS infrastructure, demonstrating a solid understanding of key AWS services and DevOps practices.

terraformAWSdevopsEC2EIPEBSVPCNetworking

Strengths

Strong practical knowledge of Terraform for provisioning AWS resources.
Proficient in setting up core AWS infrastructure components like EC2, EIP, EBS, and VPC.
Demonstrates solid understanding of networking concepts within AWS (e.g., private subnets).
Indicates potential for DevOps-related tasks involving infrastructure as code.

Limitations

Minor areas for improvement in specific Terraform or AWS configurations, though overall performance is excellent.