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QA Engineer with 4+ years in Automation Testing & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Functional Tester with 3.5 years of expertise in creating, developing, and executing manual and automated test scripts to deliver top-notch software products. Skilled in utilizing industry-standard tools like Selenium for efficient automated testing. Possessing a strong understanding of Machine Learning algorithms, with in-depth knowledge of their applications. A proactive, self-motivated individual with a passion for continuous learning and delivering impactful solutions in collaborative, cross-functional teams. Looking for an opportunity to apply my technical skills to enhance software quality in a dynamic and challenging environment.
KLEF
B.Tech. · ECE
August 1, 2017 – June 30, 2021
Tech Mahindra
Project Meta Horizon Testing (Meta Platforms, AR/VR Testing)
August 1, 2025 – Present
India
Tata Consultancy Services (TCS)
Project Bamboo BTA & NBS (Barclay's Travel and Nationwide Building Society): (Aviva, Insurance domain)
September 1, 2024 – August 1, 2025
India
Tata Consultancy Services (TCS)
Project Monaco & Opal: (Aviva, Insurance domain)
November 1, 2021 – September 1, 2024
India
Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
Machine Learning Specialization
Unknown
June 1, 2026 – Present
Automation Testing – Selenium with Python
Unknown
June 1, 2026 – Present
API, FT
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different projects (insurance, AR/VR) and companies (TCS, Tech Mahindra) indicates adaptability and a willingness to engage with diverse technical challenges. Their involvement in creating knowledge-sharing platforms and conducting workshops suggests a collaborative and proactive mindset, which aligns well with a positive cultural fit. The stated passion for continuous learning and delivering impactful solutions further supports this.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a QA Engineer role, evidenced by their experience in managing the full defect lifecycle, participating in Agile ceremonies, and coordinating with various teams. Their proactive approach to bug tracking and execution of stories, along with demonstrating end-to-end product journeys, indicates good communication and collaboration skills. The ability to create knowledge-sharing platforms and streamline troubleshooting suggests a focus on efficiency and team support.