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Appen
Remotasks
Scale AINo subject matter listed
ImageI have practical experience in data labeling and AI training data, gained through projects on Remotasks involving image annotation, object detection, and 3D LiDAR labeling for computer vision and autonomous systems. I advanced to the role of Reviewer, where I was responsible for ensuring annotation accuracy, consistency, and quality across large datasets. This experience sharpened my attention to detail and my ability to work effectively with complex guidelines under tight deadlines. In addition, I am building my career in cloud data analytics and engineering. I have already completed projects involving ETL jobs with AWS Glue, transforming raw data into optimized Parquet formats and enabling efficient querying with Amazon Athena. I’ve designed end-to-end ETL pipelines and I’m actively working with Apache Airflow to orchestrate workflows, manage dependencies, and automate data processing. While I’m new to the field, I have proven that I can not only learn but also execute — I have the technical skills to build, run, and optimize data pipelines that deliver business value. By combining my annotation background with my cloud analytics and ETL engineering skills, I bring a unique capability: ensuring data is both accurately labeled and efficiently processed, ready for analytics and AI at scale.
annotate the street, stationary cars, each car what type of vehicle is it, annotate is it moving or stationary, the pedestrians, motorcycles
i annotated many projects, but mostly i worked with internet of things images, annotating threshold , what type of objects and where their position on the floor or not,
AWS Cloud Practitioner certificate, Cloud Computing
Associate, Software Development
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