labeller
It was a autonomous vehicle training, labelling data captured by both 3D sensors and image. project took 2 and half years. After successfully completing the first phase in their scope.
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Throughout my professional journey, I've gained extensive hands-on experience with a diverse array of AI data annotation and labelling tools. This includes proficiency in platforms such as Gulp, used for cruise data labelling, CVAT, Super Annotation, Task monk AI, Alegion Annotation, Fast Label, and LXT. My familiarity extends to various other data annotation tech tools, allowing me to adapt quickly to different workflows and requirements. This breadth of experience has equipped me with a comprehensive understanding of efficient data preparation for machine learning models, and I am committed to leveraging these skills to ensure high-quality, accurate datasets. As a detail-oriented Data Annotator and Machine Learning Specialist, I bring four years of experience from my previous company. I excel in data labelling, database management, and efficient data entry, including high-speed digitisation and active involvement in multilingual data translation projects. I am proficient in various AI annotation tools and committed to enhancing machine learning accuracy.
It was a autonomous vehicle training, labelling data captured by both 3D sensors and image. project took 2 and half years. After successfully completing the first phase in their scope.
categorisation and paraphrasing by labelling key points in a reviews for airBNB finding harsh comments from customers to train AI to figure out what can be the issue.
Project was divided in segments including labelling people in supermarkets to track shoplifters and labelling football players on the pitch and determine posture behaviours and any other details.
Diploma, Information and Communication Technology
Kenya Certificate of Secondary Education (KCSE), General Secondary Education
Machine Learning Associalte LL1