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EncordSupervisely
VideoI am a detail-oriented professional with hands-on experience leading annotation and quality control teams in the AI data sector. My background includes managing end-to-end project delivery for AI training data, ensuring high-quality outcomes through effective coordination, workflow management, and close collaboration with clients. With a strong foundation in IT support, system troubleshooting, and technical operations, I have developed a keen eye for data accuracy and process improvement. My expertise in project coordination, quality assurance, and team leadership allows me to efficiently oversee data labeling initiatives, making sure all deliverables meet rigorous standards and client expectations.
In this project, we focused on annotating the dataset with an hourly benchmark, maintaining consistency and efficiency throughout the process.
The project spanned 10 days and involved handling a substantial amount of data. Thanks to our skilled and efficient team, we managed to execute it successfully with excellent results.
This was a video annotation project where we worked meticulously frame by frame. A dedicated team of five members collaborated daily, ensuring each batch was completed and submitted with precision.
The project involves video annotation, where we meticulously create bounding boxes and accurately tag the action movements of individuals. We worked for multiple dataset and each month we have completed 200 hours benchmark.
PTE, English Proficiency Test
Bachelor of Science, Computer Science and Engineering
Associate Delivery Lead
Assistant IT Officer
