QA Automation Engineer with 1+ years in AI, Test Automation & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate specializing in AI Robotics with strong skills in Java, Python, SQL, and test automation (Selenium, API testing). Experienced in building scalable testing solutions in Agile environments, targeting technical roles.
Vellore Institute of Technology, Chennai
Bachelor of Technology · Computer Science (AI & Robotics)
N/A – June 30, 2025
Cognizant
Programmer Analyst Trainee
August 1, 2025 – Present
India
Cognizant
Quality Engineer Intern
January 1, 2025 – April 1, 2025
India
Capabl by Elite Techno Group
Data Science Intern
June 1, 2023 – July 1, 2023
India
TouchFlow Canvas
December 1, 2023 – January 1, 2024
Created a virtual whiteboard using Python, OpenCV, and Mediapipe for real-time hand gesture drawing. Optimized processing pipeline to reduce latency and enhance gesture tracking responsiveness.
New York Taxi Trip Duration Prediction
June 1, 2023 – July 1, 2023
Trained XGBoost regression model to predict taxi trip duration with 15% higher accuracy than baseline. Performed feature engineering using external factors like weather and traffic data.
Anthropic Claude Certified Architect – Foundations
Unknown
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI/ML projects alongside QA automation experience, suggests a broad technical interest. The experience in both data science and quality engineering roles indicates adaptability. The target role of QA Automation Engineer aligns well with the recent internship and current trainee role, showing a focused career path. The academic background in AI & Robotics further adds to a diverse skill set.
Soft Skills & Operational Fit
The candidate's experience in Agile environments, collaboration with developers, and defect tracking indicates good operational fit. The ability to analyze user stories and ensure requirement alignment suggests strong analytical and communication skills relevant to a QA role. However, without specific assessment data on soft skills, a comprehensive evaluation is limited.