Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quality Engineer with 3+ years in test automation & AI quality engineering
Detail-oriented Software Quality Engineer with 3+ years of experience in software quality assurance, test automation and test environment management. ISTQB-certified professional skilled in Playwright, Cypress, Robot Framework and CI/CD-driven testing, with a proven record of improving release efficiency and product reliability in Agile/Scrum environments. Experienced in building scalable automation frameworks, managing cloud-based testing environments (Azure, VMware) and leading QA teams to deliver stable releases. Recently contributed to AI quality engineering research, applying systematic evidence analysis and Python-based data pipelines to support the development of quality assurance frameworks for AI-driven healthcare systems.
University of Oulu
Master of Science · Information Processing Science (Software Engineering)
August 1, 2024 – June 30, 2025
University of Lahore
Bachelor of Science · Computer Science
August 1, 2017 – June 30, 2021
University of Oulu – ITEE (M3S)
Research Assistant (AI Quality Engineering)
September 1, 2025 – January 1, 2026
India
UWorx Services (Pvt.) Limited
Software Quality Engineer
August 1, 2021 – August 1, 2024
India
ISTQB Agile Tester Foundation Extension (CTFL-AG)
Unknown
January 1, 2023 – Present
ISTQB Certified Tester Foundation Level (CTFL)
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience spans traditional software quality engineering and emerging AI quality assurance, indicating a diverse skill set and adaptability. Their leadership roles and mentoring experience suggest a collaborative and growth-oriented approach. The academic background (Master's in Software Engineering) combined with practical industry experience and ISTQB certifications demonstrates a commitment to continuous learning and professional development, which aligns well with a culture of excellence and innovation. The project diversity, from application packaging to project management solutions and AI QA frameworks, shows a broad applicability of their skills.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring abilities, as evidenced by leading a QA team and mentoring junior engineers. Their participation in customer calls and collaboration with developers and product stakeholders indicates good communication and teamwork skills. The experience in developing test strategies and comprehensive reports suggests strong organizational and analytical capabilities. The candidate's involvement in AI QA research also points to a proactive and innovative mindset.