Tania Wazir
AI | Software Quality Assurance (SQA)
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About
Motivated and detail-oriented professional with internship experience in both Artificial Intelligence (AI) and Software Quality Assurance (SQA). Skilled in Python, Machine Learning fundamentals, Manual Testing, and basic automation using Selenium WebDriver. Experienced in creating test cases, reporting bugs, testing web applications, and developing AI-based projects.
A quick learner with strong problem-solving and analytical skills, committed to delivering reliable, high-quality software and continuously improving technical expertise.
Experience
Software Quality Assurance (SQA) Intern at Tracking KSA (2025-05 – 2025-08)
- Performed manual testing of web and mobile applications to ensure functionality, usability, and overall software quality.
- Designed, executed, and maintained test cases based on functional requirements.
- Identified, documented, and tracked defects using Google Sheets and Notion.
- Prepared clear and detailed user manuals and software documentation.
- Automated selected test cases using Selenium WebDriver with Python.
- Worked on multiple client projects, including:
- Gorex – Website & Application Documentation and Testing
- Fleeti Chatbot – Test Case Design and Bug Reporting
Artificial Intelligence Intern at Brainbrick (2024-07 – 2025-01)
- Worked on AI and Machine Learning solutions using Python.
- Developed an AI-Powered Resume Matching System to improve the recruitment process.
- Applied Natural Language Processing (NLP) techniques to analyze resumes and job descriptions.
- Implemented a similarity scoring system to match candidates with job requirements more accurately.
- Contributed to improving recruitment efficiency through AI-based automation and data analysis.
Final Year Project – AI-Powered Music Recommendation System (2023-09 – 2025-02)
- Developed an AI-powered music recommendation system with a Flutter-based user interface.
- Used Python and Machine Learning to generate personalized music recommendations.
- Designed an interactive and user-friendly application for music discovery.
- Integrated AI recommendations with the application workflow to improve user experience.
- Participated in system design, development, testing, and documentation.
Education
BS in Computer Science – Riphah International University (2021-03 – 2025-02)
Intermediate in Medical – Punjab Group of College (2018-03 – 2020-02)
Matriculation – Kazmi Girls High School (2016-03 – 2018-02)
