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SDET with 3+ years in Automation Testing, API Testing, and AI-Assisted Test Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mayank Indoliya is an experienced SDET with 3.5 years of expertise in automation testing, API testing, and leveraging AI for test development. He has a strong background in functional, regression, smoke, and system testing for web applications, with a proven ability to improve test coverage and accelerate root cause analysis. He is proficient in JavaScript, Cypress, Selenium, Playwright, MySQL, PostgreSQL, and various testing tools like Git, Github, JIRA, and Jenkins, enabling end-to-end release support and high-quality test scenario generation.
Jaipur National University
BCA
N/A – June 30, 2022
Star Health & Allied Insurance Co. Ltd
SDET
September 1, 2024 – Present
India
Kids International Pvt Ltd
SDET
December 1, 2022 – September 1, 2024
India
Cultural Fit Analysis
The candidate has experience in both the insurance sector and government web applications, demonstrating adaptability to different industry domains. The use of AI/LLMs for efficiency aligns with a culture of innovation and continuous improvement. The focus on improving test coverage and efficiency suggests a results-oriented mindset. However, the lack of diverse project types or community involvement limits a deeper assessment of cultural fit beyond professional adaptability.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to improving test coverage and efficiency, particularly through the adoption of AI/LLM tools. This suggests a problem-solving mindset and an ability to adapt to new technologies. The descriptions of release support and UAT involvement point to a collaborative and responsible operational fit. However, without direct assessment data on communication or teamwork, these are inferences.