Performed manual testing on mobile and web applications to ensure product stability.

Executed detailed data annotation tasks for computer vision projects, including bounding boxes and image classification.

Conducted QA reviews of annotated datasets to maintain accuracy and consistency.

Collaborated with developers and AI teams to report bugs and improve annotation workflows.

Created test cases, logged issues on Jira, and documented annotation quality processes.

🏆 Awarded 'Best QA' for outstanding accuracy, attention to detail, and consistency in both testing and annotation.

Handled both data annotation and quality assurance for computer vision projects.

Labeled images using bounding boxes, polygons, and semantic segmentation techniques.

Conducted QA reviews to ensure labeling consistency and accuracy across datasets.

Flagged errors in annotations, provided feedback, and ensured corrective measures were taken.

Collaborated with annotation teams and project leads to improve data pipeline quality.

Maintained high throughput and precision while meeting tight project deadlines in a fully remote setup.

Gained 1.2 years of hands-on experience in manual and automation testing.

Wrote reusable test cases and executed regression and functional testing.

Transitioned into frontend development using React.js and Tailwind CSS.

Developed and launched the official company website with responsive design.

Built Pharma App’s attendance tracker with face recognition login system.

Balanced QA and development responsibilities to ensure quality delivery.

Acts as the final checkpoint for quality assurance before product releases.

Deliberately stress-tests and breaks the app to uncover potential issues.

Develops pixel-perfect frontend features using React and Tailwind CSS.

Gathers requirements from stakeholders and aligns development priorities.

Temporarily leads product roadmap and sprint planning in PO's absence.

Coordinates efforts across QA, development, and design teams.