Abiraj Govindharaj
QA EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Engineer with 6+ years in Manual & Automation Testing & AI Testing
QA Tester with 5+ years of experience in Manual & Automation Testing across E-commerce and Network domains. Proficient in Selenium WebDriver with Java, API testing, and database validation. Recently experienced in AI testing, including validation of AI-generated responses, prompt engineering. Strong knowledge of SDLC, STLC, Agile methodologies, and test automation frameworks (TestNG, BDD, POM, Hybrid). Skilled in designing and executing test strategies to ensure high-quality product releases. Adept at collaborating with cross-functional teams to deliver defect-free, user-focused solutions.
Anna University Guindy,TamilNadu
B.E · BioMedical Engineering
August 1, 2015 – June 30, 2019
HSE board TamilNadu
12th
June 1, 2013 – May 31, 2015
Sellermania Services Pvt Ltd
Software Test Engineer
March 1, 2024 – Present
Puducherry, Puducherry, India
Sparteqz Technologies Pvt Ltd
QA Tester
June 1, 2020 – January 31, 2024
Salem, Tamil Nadu, India
Software Testing Tool
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience across e-commerce and network domains, indicating adaptability to different business contexts. Their involvement in validating AI responses and using AI tools like ChatGPT and Claude for testing support shows an openness to new technologies and innovation. The breadth of tools and technologies used (Selenium, Postman, SoapUI, Jira, Git, Jenkins, SQL, Linux, Grafana, Prometheus, Kafka) suggests a versatile and continuous learning mindset, which aligns well with dynamic work environments. The candidate's focus on end-user workflows and business process understanding also indicates a customer-centric approach.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, evidenced by working with developers, business analysts, and operations teams. Their experience in Agile environments, participation in sprint planning, and defect management using Jira indicates good operational fit. The ability to deliver hotfixes under tight deadlines and support post-release monitoring suggests a proactive and responsible work attitude. The candidate's experience with monitoring tools like Grafana, Prometheus, and Kafka also points to a good understanding of operational aspects.