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Appen
CVAT
Label StudioNo subject matter listed
Audio
Computer Code Programming
Document
Image
VideoWith a strong foundation in software engineering and cloud technologies, I bring over three years of experience developing robust, scalable solutions and collaborating with diverse teams. My technical skills in Python, Java, SQL, and cloud platforms such as AWS and Azure, combined with practical experience in automation, CI/CD pipelines, and containerization (Docker, Kubernetes), equip me to deliver high-quality, reliable data labeling and annotation work. I am detail-oriented and analytical, with a proven ability to document processes, maintain data integrity, and support digital operations. My interdisciplinary background in engineering and information systems management enables me to understand the importance of accurate, well-structured training data for AI and machine learning applications, and I am committed to ensuring data quality and consistency in every project I undertake.
Annotated and transcribed speech datasets for training automatic speech recognition models. Tasks included labeling spoken words, identifying speaker segments, and ensuring transcription accuracy.
Annotated and labeled large image datasets for machine learning model training. Tasks included object detection and image classification using bounding boxes and tagging methods. Ensured high annotation accuracy by following labeling guidelines and performing quality checks on datasets used for computer vision applications.
Annotated traffic video datasets for object tracking models. Labeled and tracked moving objects such as vehicles, pedestrians, and bicycles across video frames using bounding boxes. Ensured annotation consistency and accuracy for machine learning training.
Master of Science, Information Management System
Bachelor of Engineering, Agricultural and Bioresource Engineering
Cloud & Software Engineer
Junior Software Developer
